Commit e7418cd0 authored by Sujen's avatar Sujen

Merge branch 'JPL-66630737' into 'master'

sklearn-wrap updates

See merge request datadrivendiscovery/primitives!267
parents 26d91835 89aea74d
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"outputs": [
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"name": "output predictions"
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"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
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},
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{
"type": "PRIMITIVE",
"primitive": {
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"version": "0.3.0",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
"name": "Construct pipeline predictions output"
},
"arguments": {
"inputs": {
"type": "CONTAINER",
"data": "steps.3.produce"
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"inputs": [
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"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -490,5 +490,5 @@
},
"structural_type": "sklearn_wrap.SKBaggingClassifier.SKBaggingClassifier",
"description": "Primitive wrapping for sklearn BaggingClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
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"created": "2019-06-17T21:04:03.867448Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -395,5 +395,5 @@
},
"structural_type": "sklearn_wrap.SKBernoulliNB.SKBernoulliNB",
"description": "Primitive wrapping for sklearn BernoulliNB\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
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"created": "2019-06-13T18:17:27.525671Z",
"created": "2019-06-17T21:04:04.002768Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -616,5 +616,5 @@
},
"structural_type": "sklearn_wrap.SKDecisionTreeClassifier.SKDecisionTreeClassifier",
"description": "Primitive wrapping for sklearn DecisionTreeClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "4d01ded276922003aabff3a3a8f7748a8d3cc40b218856fbafa7b1dc16a992dc"
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"created": "2019-06-17T21:04:04.127395Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -434,5 +434,5 @@
},
"structural_type": "sklearn_wrap.SKDummyClassifier.SKDummyClassifier",
"description": "Primitive wrapping for sklearn DummyClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "d4742306e75afb13725ad415136927f6e10f77500fee342a768f6b301821bf19"
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:27.793082Z",
"created": "2019-06-17T21:04:04.271071Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -669,5 +669,5 @@
},
"structural_type": "sklearn_wrap.SKExtraTreesClassifier.SKExtraTreesClassifier",
"description": "Primitive wrapping for sklearn ExtraTreesClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "30a0cb168ca1b694043cf996b6ad4c2422e5c1011e4cf2a9405ec1efd9c3c2fd"
"digest": "bd28b291e285b3fc94410899197b87f535124c08a4ed00ca0af6eaa302c908c6"
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"created": "2019-06-13T18:17:27.903214Z",
"created": "2019-06-17T21:04:04.378105Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -356,5 +356,5 @@
},
"structural_type": "sklearn_wrap.SKGaussianNB.SKGaussianNB",
"description": "Primitive wrapping for sklearn GaussianNB\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "0e1f9dfe0362037f13d772d1aa4d97d44997fc32a7a47d7db726e02be2d341b8"
"digest": "7f41c6d30b6512a0fa3a3adebbc3b16c4a41fc71ac4b6084893f7562af5a8a0e"
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.053749Z",
"created": "2019-06-17T21:04:04.523729Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -701,5 +701,5 @@
},
"structural_type": "sklearn_wrap.SKGradientBoostingClassifier.SKGradientBoostingClassifier",
"description": "Primitive wrapping for sklearn GradientBoostingClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "3b5eab6aa4279356f83d219f9e943792eded4ba7baae4b99e7ed34a9af949bcd"
"digest": "af2d28352365def70d4fcc8e9798e9f025046167d6943a6dd8d9894f8426775b"
}
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{
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.172691Z",
"created": "2019-06-17T21:04:04.642280Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -452,5 +452,5 @@
},
"structural_type": "sklearn_wrap.SKKNeighborsClassifier.SKKNeighborsClassifier",
"description": "Primitive wrapping for sklearn KNeighborsClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "30eacca83554b9088d716a9e9e2919c8b6116beb903e91dc5415ed4b851cbd56"
"digest": "13147d120ee15b7c2863228a17390fc892b674fb82f928e9ac8bbdfe7238fa32"
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.403981Z",
"created": "2019-06-17T21:04:04.930223Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -443,5 +443,5 @@
},
"structural_type": "sklearn_wrap.SKLinearDiscriminantAnalysis.SKLinearDiscriminantAnalysis",
"description": "Primitive wrapping for sklearn LinearDiscriminantAnalysis\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "f182d4c6ad43c99e4c9efe8a71e59523c71d061db1e6cd034c0788f0ad1e0736"
"digest": "693d71ea8855e04ea352aad99005406a6bbb3b66297d2d6eec5420b6d6433c73"
}
\ No newline at end of file
{
"id": "ebdc03c9-99cd-4f5c-b6be-37260e10478c",
"id": "d8e06671-811e-40a9-9522-9e1314be82a2",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.561228Z",
"created": "2019-06-17T21:04:05.043643Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -440,5 +440,5 @@
},
"structural_type": "sklearn_wrap.SKLinearSVC.SKLinearSVC",
"description": "Primitive wrapping for sklearn LinearSVC\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "71af48f1b5c657e5bf0e18aa78629f0c2e3f7571d9bfd87496da335d0e956865"
"digest": "2d8ec93d5ed4855a8623956ce597cf5875dba78b0eb4c4a563c1bee3536b394b"
}
\ No newline at end of file
{
"id": "87e1fd09-3725-4c88-b15e-fb0d539be7aa",
"id": "6a68e117-5e2c-4959-90ee-55ad86354fad",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.681427Z",
"created": "2019-06-17T21:04:05.161659Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -502,5 +502,5 @@
},
"structural_type": "sklearn_wrap.SKLogisticRegression.SKLogisticRegression",
"description": "Primitive wrapping for sklearn LogisticRegression\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "26a49f4800dd3ad9c0adea5079c09e98128adbb92f73d8ffec21511bb3aacf8b"
"digest": "eccb8d2f1f309e548bd76068aafc4097ed7f2abfc1d5924bdd6825a131acfc0e"
}
\ No newline at end of file
{
"id": "2ac95edf-53f9-4faf-9099-2a66378765ac",
"id": "697ae553-68b5-4cc4-a078-22fcaabdb5c8",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.824436Z",
"created": "2019-06-17T21:04:05.302573Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -623,5 +623,5 @@
},
"structural_type": "sklearn_wrap.SKMLPClassifier.SKMLPClassifier",
"description": "Primitive wrapping for sklearn MLPClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPClassifier.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "2c7b183c287a7e264dff2f734bd5567c72f136a3595a5cf72a449782a5a9bfb3"
"digest": "d350805b6aa38fd5ac9d6434c4def84bc6ad649a576e9c2f8e1dbc2cb846cf1d"
}
\ No newline at end of file
{
"id": "7c6c86d4-a628-4419-b098-a9c4333eb1f5",
"id": "fb037781-7316-4472-964a-5872c63dce18",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-13T18:17:28.933381Z",
"created": "2019-06-17T21:04:05.413310Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@54edabd7bf17c827810cbfa5235c151ddc1a7714#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@aab0f8373dfc08e52a61f21998fe2fd7d8d4860a#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -360,5 +360,5 @@
},
"structural_type": "sklearn_wrap.SKMultinomialNB.SKMultinomialNB",
"description": "Primitive wrapping for sklearn MultinomialNB\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html>`_\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n</