doc: update CHANGELOG to reflect v2.0.0 changes#1808

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laurenyu merged 2 commits into from
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doc: update CHANGELOG to reflect v2.0.0 changes #1808

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de4d695
remove readme note
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85 changes: 84 additions & 1 deletion CHANGELOG.md
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

* merge v2 changes into master
* rename s3_input to TrainingInput
* Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
* rename numpy_to_record_serializer to RecordSerializer
* Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
* Move _JsonSerializer to sagemaker.serializers.JSONSerializer
* Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
* Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
* Move _CsvSerializer to sagemaker.serializers.CSVSerializer
* preserve script path when S3 source_dir is provided
* use image_uris.retrieve() for XGBoost URIs
* deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
* deprecate fw_registry module and use image_uris.retrieve() for SparkML
* deprecate Python SDK CLI
* Remove the content_types module
* deprecate unused parameters
* deprecate fw_utils.create_image_uri()
* use images_uris.retrieve() for Debugger
* deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
* deprecate unused functions from utils and fw_utils
* Remove content_type and accept parameters from Predictor
* Add parameters to deploy and remove parameters from create_model
* Add LibSVM serializer for XGBoost predictor
* move ShuffleConfig from sagemaker.session to sagemaker.inputs
* deprecate get_ecr_image_uri_prefix
* rename estimator.train_image() to estimator.training_image_uri()
* deprecate is_version_equal_or_higher and is_version_equal_or_lower
* default wait=True for HyperparameterTuner.fit() and Transformer.transform()
* remove unused bin/sagemaker-submit file

### Features

* start new module for retrieving prebuilt SageMaker image URIs
* handle separate training/inference images and EI in image_uris.retrieve
* add support for Amazon algorithms in image_uris.retrieve()
* Add pandas deserializer
* Remove LegacySerializer and LegacyDeserializer
* Add sparse matrix serializer
* Add v2 SerDe compatability
* Add JSON Lines serializer
* add framework upgrade tool
* add 1p algorithm image_uris migration tool
* Update migration tool to support breaking changes to create_model
* support PyTorch 1.6 training

### Bug Fixes and Other Changes

* handle named variables in v2 migration tool
* add modifier for s3_input class
* add XGBoost support to image_uris.retrieve()
* add MXNet configuration to image_uris.retrieve()
* add remaining Amazon algorithms for image_uris.retrieve()
* add PyTorch configuration for image_uris.retrieve()
* make image_scope optional for some images in image_uris.retrieve()
* separate logs() from attach()
* use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
* use images_uris.retrieve() for scikit-learn classes
* use image_uris.retrieve() for RL images
* Rename BaseDeserializer.deserialize data parameter
* Add allow_pickle parameter to NumpyDeserializer
* Fix scipy.sparse imports
* Improve code style of SerDe compatibility
* use image_uris.retrieve for Neo and Inferentia images
* use generated RL version fixtures and update Ray version
* use image_uris.retrieve() for ModelMonitor default image
* use _framework_name for 'protected' attribute
* Fix JSONLinesDeserializer
* upgrade TFS version and fix py_versions KeyError
* Fix PandasDeserializer tests to more accurately mock response
* don't require instance_type for image_uris.retrieve() if only one option
* ignore code cells with shell commands in v2 migration tool
* Support multiple Accept types

### Documentation Changes

* fix pip install command
* document name changes for TFS classes
* document v2.0.0 changes
* update KFP full pipeline

### Testing and Release Infrastructure

* generate Chainer latest version fixtures from config
* use generated TensorFlow version fixtures
* use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down
5 changes: 0 additions & 5 deletions README.rst
View file
Open in desktop
Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
:height: 100px
:alt: SageMaker
Expand Down
, '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" + '

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doc: update CHANGELOG to reflect v2.0.0 changes#1808

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laurenyu
merged 2 commits into

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Aug 5, 2020
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doc: update CHANGELOG to reflect v2.0.0 changes
#1808
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doc: update CHANGELOG to reflect v2.0.0 changes


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de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down

5 changes: 0 additions & 5 deletions
README.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
Expand Down

, '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");
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} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
doc: update CHANGELOG to reflect v2.0.0 changes#1808

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privacy statement. We’ll occasionally send you account related emails.

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to your account

 Merged

laurenyu
merged 2 commits into

from

Aug 5, 2020
 Merged


doc: update CHANGELOG to reflect v2.0.0 changes
#1808
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doc: update CHANGELOG to reflect v2.0.0 changes


laurenyu Aug 4, 2020
de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down

5 changes: 0 additions & 5 deletions
README.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
Expand Down

, '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");
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
doc: update CHANGELOG to reflect v2.0.0 changes#1808

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 Merged

laurenyu
merged 2 commits into

from

Aug 5, 2020
 Merged


doc: update CHANGELOG to reflect v2.0.0 changes
#1808
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doc: update CHANGELOG to reflect v2.0.0 changes


laurenyu Aug 4, 2020
de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down

5 changes: 0 additions & 5 deletions
README.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
Expand Down

, '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" + '

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doc: update CHANGELOG to reflect v2.0.0 changes


laurenyu Aug 4, 2020
de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down

5 changes: 0 additions & 5 deletions
README.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
Expand Down

, '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('^' + ".*" + '

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doc: update CHANGELOG to reflect v2.0.0 changes#1808

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 Merged

laurenyu
merged 2 commits into

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doc: update CHANGELOG to reflect v2.0.0 changes
#1808
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doc: update CHANGELOG to reflect v2.0.0 changes


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de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down

5 changes: 0 additions & 5 deletions
README.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
Expand Down

, '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
doc: update CHANGELOG to reflect v2.0.0 changes#1808

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 Merged

laurenyu
merged 2 commits into

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Aug 5, 2020
 Merged


doc: update CHANGELOG to reflect v2.0.0 changes
#1808
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9c953ad

doc: update CHANGELOG to reflect v2.0.0 changes


laurenyu Aug 4, 2020
de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

Expand Down

5 changes: 0 additions & 5 deletions
README.rst

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,8 +1,3 @@
+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
Expand Down

, '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

laurenyu
merged 2 commits into

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Aug 5, 2020
 Merged


doc: update CHANGELOG to reflect v2.0.0 changes
#1808
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doc: update CHANGELOG to reflect v2.0.0 changes


laurenyu Aug 4, 2020
de4d695

remove readme note


laurenyu Aug 5, 2020

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85 changes: 84 additions & 1 deletion
CHANGELOG.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -4,7 +4,90 @@

### Breaking Changes

 * merge v2 changes into master
 * rename s3_input to TrainingInput
 * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
 * rename numpy_to_record_serializer to RecordSerializer
 * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
 * Move _JsonSerializer to sagemaker.serializers.JSONSerializer
 * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
 * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
 * Move _CsvSerializer to sagemaker.serializers.CSVSerializer
 * preserve script path when S3 source_dir is provided
 * use image_uris.retrieve() for XGBoost URIs
 * deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
 * deprecate fw_registry module and use image_uris.retrieve() for SparkML
 * deprecate Python SDK CLI
 * Remove the content_types module
 * deprecate unused parameters
 * deprecate fw_utils.create_image_uri()
 * use images_uris.retrieve() for Debugger
 * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
 * deprecate unused functions from utils and fw_utils
 * Remove content_type and accept parameters from Predictor
 * Add parameters to deploy and remove parameters from create_model
 * Add LibSVM serializer for XGBoost predictor
 * move ShuffleConfig from sagemaker.session to sagemaker.inputs
 * deprecate get_ecr_image_uri_prefix
 * rename estimator.train_image() to estimator.training_image_uri()
 * deprecate is_version_equal_or_higher and is_version_equal_or_lower
 * default wait=True for HyperparameterTuner.fit() and Transformer.transform()
 * remove unused bin/sagemaker-submit file

### Features

 * start new module for retrieving prebuilt SageMaker image URIs
 * handle separate training/inference images and EI in image_uris.retrieve
 * add support for Amazon algorithms in image_uris.retrieve()
 * Add pandas deserializer
 * Remove LegacySerializer and LegacyDeserializer
 * Add sparse matrix serializer
 * Add v2 SerDe compatability
 * Add JSON Lines serializer
 * add framework upgrade tool
 * add 1p algorithm image_uris migration tool
 * Update migration tool to support breaking changes to create_model
 * support PyTorch 1.6 training

### Bug Fixes and Other Changes

 * handle named variables in v2 migration tool
 * add modifier for s3_input class
 * add XGBoost support to image_uris.retrieve()
 * add MXNet configuration to image_uris.retrieve()
 * add remaining Amazon algorithms for image_uris.retrieve()
 * add PyTorch configuration for image_uris.retrieve()
 * make image_scope optional for some images in image_uris.retrieve()
 * separate logs() from attach()
 * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
 * use images_uris.retrieve() for scikit-learn classes
 * use image_uris.retrieve() for RL images
 * Rename BaseDeserializer.deserialize data parameter
 * Add allow_pickle parameter to NumpyDeserializer
 * Fix scipy.sparse imports
 * Improve code style of SerDe compatibility
 * use image_uris.retrieve for Neo and Inferentia images
 * use generated RL version fixtures and update Ray version
 * use image_uris.retrieve() for ModelMonitor default image
 * use _framework_name for 'protected' attribute
 * Fix JSONLinesDeserializer
 * upgrade TFS version and fix py_versions KeyError
 * Fix PandasDeserializer tests to more accurately mock response
 * don't require instance_type for image_uris.retrieve() if only one option
 * ignore code cells with shell commands in v2 migration tool
 * Support multiple Accept types

### Documentation Changes

 * fix pip install command
 * document name changes for TFS classes
 * document v2.0.0 changes
 * update KFP full pipeline

### Testing and Release Infrastructure

 * generate Chainer latest version fixtures from config
 * use generated TensorFlow version fixtures
 * use generated MXNet version fixtures

## v1.72.0 (2020-07-29)

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+-------------------------------------------------------------------------------------------------+
| **NOTE**: We are working on v2.0.0. See https://github.com/aws/sagemaker-python-sdk/issues/1459 |
| for more info on our plans and to leave feedback! |
+-------------------------------------------------------------------------------------------------+

.. image:: https://github.com/aws/sagemaker-python-sdk/raw/master/branding/icon/sagemaker-banner.png
 :height: 100px
 :alt: SageMaker
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