Remove __all__ and add noqa in __init__#186

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Merged
yangaws merged 4 commits into from
Jun 3, 2018
Merged

Remove __all__ and add noqa in __init__ #186

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d7f7c3d
Remove __all__ and add noqa for imports in __init__
yangaws May 15, 2018
c9178ec
Update change log
yangaws May 15, 2018
253adfa
Merge branch 'master' into rmall
yangaws May 29, 2018
301ff44
Merge branch 'master' into rmall
yangaws Jun 1, 2018
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1 change: 1 addition & 0 deletions CHANGELOG.rst
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Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down
44 changes: 18 additions & 26 deletions src/sagemaker/__init__.py
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Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
'LinearLearnerModel', 'LinearLearnerPredictor',
'LDA', 'LDAModel', 'LDAPredictor',
'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401
8 changes: 3 additions & 5 deletions src/sagemaker/mxnet/__init__.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401
10 changes: 4 additions & 6 deletions src/sagemaker/tensorflow/__init__.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
Remove __all__ and add noqa in __init__#186

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to your account

 Merged

yangaws
merged 4 commits into

from

Jun 3, 2018
 Merged


Remove __all__ and add noqa in __init__
#186
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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Remove __all__ and add noqa in __init__#186

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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to your account

 Merged

yangaws
merged 4 commits into

from

Jun 3, 2018
 Merged


Remove __all__ and add noqa in __init__
#186
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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Remove __all__ and add noqa in __init__#186

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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 Merged

yangaws
merged 4 commits into

from

Jun 3, 2018
 Merged


Remove __all__ and add noqa in __init__
#186
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4 commits


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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
Remove __all__ and add noqa in __init__#186

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 Merged

yangaws
merged 4 commits into

from

Jun 3, 2018
 Merged


Remove __all__ and add noqa in __init__
#186
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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Remove __all__ and add noqa in __init__#186

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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Already on GitHub?
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to your account

 Merged

yangaws
merged 4 commits into

from

Jun 3, 2018
 Merged


Remove __all__ and add noqa in __init__
#186
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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Remove __all__ and add noqa in __init__#186

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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By clicking “Sign up for GitHub”, you agree to our terms of service and
privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

yangaws
merged 4 commits into

from

Jun 3, 2018
 Merged


Remove __all__ and add noqa in __init__
#186
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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

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Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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 Merged

yangaws
merged 4 commits into

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Jun 3, 2018
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Remove __all__ and add noqa in __init__
#186
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d7f7c3d

Remove __all__ and add noqa for imports in __init__


yangaws May 15, 2018
c9178ec

Update change log


yangaws May 15, 2018
253adfa

Merge branch 'master' into rmall


yangaws May 29, 2018
301ff44

Merge branch 'master' into rmall


yangaws Jun 1, 2018

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1 change: 1 addition & 0 deletions
CHANGELOG.rst

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Original file line numberDiff line numberDiff line change
Expand Up@@ -5,6 +5,7 @@ CHANGELOG
1.3.dev1
========

* bug-fix: Remove __all__ and add noqa in __init__
* bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans

1.3.0
Expand Down

44 changes: 18 additions & 26 deletions
src/sagemaker/__init__.py

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Expand Up@@ -12,31 +12,23 @@
# language governing permissions and limitations under the License.
from __future__ import absolute_import

from sagemaker import estimator
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor
from sagemaker.amazon.randomcutforest import RandomCutForest, RandomCutForestModel, RandomCutForestPredictor
from sagemaker import estimator # noqa: F401
from sagemaker.amazon.kmeans import KMeans, KMeansModel, KMeansPredictor # noqa: F401
from sagemaker.amazon.pca import PCA, PCAModel, PCAPredictor # noqa: F401
from sagemaker.amazon.lda import LDA, LDAModel, LDAPredictor # noqa: F401
from sagemaker.amazon.linear_learner import LinearLearner, LinearLearnerModel, LinearLearnerPredictor # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachines, FactorizationMachinesModel # noqa: F401
from sagemaker.amazon.factorization_machines import FactorizationMachinesPredictor # noqa: F401
from sagemaker.amazon.ntm import NTM, NTMModel, NTMPredictor # noqa: F401
from sagemaker.amazon.randomcutforest import (RandomCutForest, RandomCutForestModel, # noqa: F401
 RandomCutForestPredictor)

from sagemaker.local.local_session import LocalSession
from sagemaker.local.local_session import LocalSession # noqa: F401

from sagemaker.model import Model
from sagemaker.predictor import RealTimePredictor
from sagemaker.session import Session
from sagemaker.session import container_def
from sagemaker.session import production_variant
from sagemaker.session import s3_input
from sagemaker.session import get_execution_role


__all__ = ['estimator', 'KMeans', 'KMeansModel', 'KMeansPredictor', 'PCA', 'PCAModel', 'PCAPredictor', 'LinearLearner',
 'LinearLearnerModel', 'LinearLearnerPredictor',
 'LDA', 'LDAModel', 'LDAPredictor',
 'FactorizationMachines', 'FactorizationMachinesModel', 'FactorizationMachinesPredictor',
 'RandomCutForest', 'RandomCutForestModel', 'RandomCutForestPredictor',
 'Model', 'NTM', 'NTMModel', 'NTMPredictor', 'RealTimePredictor', 'Session', 'LocalSession',
 'container_def', 's3_input', 'production_variant', 'get_execution_role']
from sagemaker.model import Model # noqa: F401
from sagemaker.predictor import RealTimePredictor # noqa: F401
from sagemaker.session import Session # noqa: F401
from sagemaker.session import container_def # noqa: F401
from sagemaker.session import production_variant # noqa: F401
from sagemaker.session import s3_input # noqa: F401
from sagemaker.session import get_execution_role # noqa: F401

8 changes: 3 additions & 5 deletions
src/sagemaker/mxnet/__init__.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -10,9 +10,7 @@
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import
from __future__ import absolute_import # noqa: F401

from sagemaker.mxnet.estimator import MXNet
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor

__all__ = ['MXNet', 'MXNetModel', 'MXNetPredictor']
from sagemaker.mxnet.estimator import MXNet # noqa: F401
from sagemaker.mxnet.model import MXNetModel, MXNetPredictor # noqa: F401

10 changes: 4 additions & 6 deletions
src/sagemaker/tensorflow/__init__.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -20,14 +20,12 @@
# classes for tensorflow serving. Currently tensorflow_serving_api can only be pip-installed for python 2.
sys.path.append(os.path.dirname(__file__))

from distutils.version import LooseVersion # noqa: E402
import tensorflow # noqa: E402
from distutils.version import LooseVersion # noqa: E402, F401
import tensorflow # noqa: E402, F401

if LooseVersion(tensorflow.__version__) < LooseVersion("1.3.0"):
 message = 'Tensorflow version must be >= 1.3.0. Current version: {}'.format(tensorflow.__version__)
 raise AssertionError(message)

from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402

__all__ = ['TensorFlow', 'TensorFlowModel', 'TensorFlowPredictor']
from sagemaker.tensorflow.estimator import TensorFlow # noqa: E402, F401
from sagemaker.tensorflow.model import TensorFlowModel, TensorFlowPredictor # noqa: E402, F401