Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
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jaredleekatzman:master

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update c32dec0...e3a2e51. Read the comment docs.

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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master

Conversation

@jaredleekatzman

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update c32dec0...e3a2e51. Read the comment docs.

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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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Skip to content

Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master

Conversation

@jaredleekatzman

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update c32dec0...e3a2e51. Read the comment docs.

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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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@jaredleekatzman@codecov-io@laurenyu@jesterhazy
, '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

Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master

Conversation

@jaredleekatzman

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update c32dec0...e3a2e51. Read the comment docs.

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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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@jaredleekatzman@codecov-io@laurenyu@jesterhazy
, '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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Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
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jaredleekatzman:master

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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@jaredleekatzman@codecov-io@laurenyu@jesterhazy
, '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

Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master

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@jaredleekatzman

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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, '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

Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master

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@jaredleekatzman

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update c32dec0...e3a2e51. Read the comment docs.

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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

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@jaredleekatzman@codecov-io@laurenyu@jesterhazy
, '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); } })(); })();
Skip to content

Add custom estimator for IP Insights algorithm - #493

Merged
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master
Nov 16, 2018
Merged

Add custom estimator for IP Insights algorithm#493
jesterhazy merged 4 commits into
aws:masterfrom
jaredleekatzman:master

Conversation

@jaredleekatzman

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Issue #, if available:

Description of changes:

  • Add custom estimators for IP Insights algorithm

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

  • I have read the CONTRIBUTING doc
  • I have added tests that prove my fix is effective or that my feature works (if appropriate)
  • I have updated the changelog with a description of my changes (if appropriate)
  • I have updated any necessary documentation (if appropriate)

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

@codecov-io

codecov-io commented Nov 16, 2018

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Codecov Report

Merging #493 into master will increase coverage by 0.06%.
The diff coverage is 100%.

Impacted file tree graph

@@ Coverage Diff @@## master #493 +/- ##
==========================================
+ Coverage 94.18% 94.24% +0.06% 
==========================================
Files 58 59 +1 Lines 4400 4448 +48 ==========================================
+ Hits 4144 4192 +48 
Misses 256 256
Impacted FilesCoverage Δ
src/sagemaker/amazon/amazon_estimator.py88.97% <ø> (ø)⬆️
src/sagemaker/amazon/ipinsights.py100% <100%> (ø)
src/sagemaker/__init__.py100% <100%> (ø)⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update c32dec0...e3a2e51. Read the comment docs.

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looks good! just a small handful of nitpicky comments

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
batch_metrics_publish_interval=None, epochs=None, learning_rate=None,
num_ip_encoder_layers=None, random_negative_sampling_rate=None,
shuffled_negative_sampling_rate=None, weight_decay=None, **kwargs):
"""IP Insights is :class:`Estimator` used for unsupervised learning.

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nitpick: change this to either

``IPInsights`` is a :class:`Estimator` used for unsupervised learning.

or something like

This estimator is for IP Insights, an algorithm for unsupervised learning.

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Updated to:

This estimator is for IP Insights, an unsupervised algorithm that learns usage patterns of IP addresses.

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
weight_decay (float): Optional. Weight decay coefficient. Adds L2 regularization.
**kwargs: base class keyword argument values.
"""

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nitpick: don't need this newline

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Done

Comment threadsrc/sagemaker/amazon/ipinsights.py Outdated
self.weight_decay = weight_decay

def create_model(self, vpc_config_override=VPC_CONFIG_DEFAULT):
"""Return a :class:`~sagemaker.amazon.IPInsightsModel`referencing the latest

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this can go in a Returns section after Args. also, add a space after the last backtick

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Done

Comment threadtests/unit/test_ipinsights.py Outdated
@@ -0,0 +1,235 @@

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remove the newline

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Done

@jesterhazy
jesterhazy merged commit 537ba79 into aws:masterNov 16, 2018
metrizable added a commit to metrizable/sagemaker-python-sdk that referenced this pull request Dec 1, 2020
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
* Estimators: add support for Amazon IP Insights algorithm
Evan-W-ang added a commit to Evan-W-ang/sagemaker-python-sdk that referenced this pull request Jun 8, 2026
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4 participants

@jaredleekatzman@codecov-io@laurenyu@jesterhazy