Add custom estimator for IP Insights algorithm #493
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Codecov Report
@@ Coverage Diff @@
## master #493 +/- ##
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+ Coverage 94.18% 94.24% +0.06%
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Files 58 59 +1
Lines 4400 4448 +48
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+ Hits 4144 4192 +48
Misses 256 256
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laurenyu
reviewed
Nov 16, 2018
src/sagemaker/amazon/ipinsights.py
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| 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.
src/sagemaker/amazon/ipinsights.py
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| 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
src/sagemaker/amazon/ipinsights.py
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| self.weight_decay = weight_decay | ||
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| 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
tests/unit/test_ipinsights.py
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| @@ -0,0 +1,235 @@ | |||
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laurenyu
approved these changes
Nov 16, 2018
metrizable
added a commit
to metrizable/sagemaker-python-sdk
that referenced
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Dec 1, 2020
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