Commit 090f1106 authored by Mitar's avatar Mitar
Browse files

Merge branch 'JPL-109270837' into 'master'

Update sklearn-wrap, skip mutual_info primitives

See merge request !87
parents 36d17c75 b8c1c58e
Pipeline #109319249 failed with stages
in 22 minutes and 18 seconds
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......
......@@ -22,7 +22,7 @@
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......@@ -394,5 +394,5 @@
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"structural_type": "sklearn_wrap.SKAdaBoostClassifier.SKAdaBoostClassifier",
"description": "Primitive wrapping for sklearn AdaBoostClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.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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......
......@@ -23,7 +23,7 @@
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"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -489,5 +489,5 @@
},
"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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"inputs": [
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"name": "inputs"
......
......@@ -23,7 +23,7 @@
"installation": [
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"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -398,5 +398,5 @@
},
"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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"name": "inputs"
......
......@@ -24,7 +24,7 @@
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"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -623,5 +623,5 @@
},
"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.",
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"created": "2020-01-13T21:52:05.691990Z",
"created": "2020-01-14T15:23:39.453598Z",
"inputs": [
{
"name": "inputs"
......
......@@ -21,7 +21,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -435,5 +435,5 @@
},
"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.",
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"created": "2020-01-13T21:52:05.826644Z",
"created": "2020-01-14T15:23:39.588205Z",
"inputs": [
{
"name": "inputs"
......
......@@ -25,7 +25,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -677,5 +677,5 @@
},
"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.",
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"created": "2020-01-13T21:52:05.931173Z",
"created": "2020-01-14T15:23:39.720469Z",
"inputs": [
{
"name": "inputs"
......
......@@ -21,7 +21,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -357,5 +357,5 @@
},
"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.",
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.068782Z",
"created": "2020-01-14T15:23:39.878079Z",
"inputs": [
{
"name": "inputs"
......
......@@ -26,7 +26,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -710,5 +710,5 @@
},
"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.",
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.180884Z",
"created": "2020-01-14T15:23:39.992863Z",
"inputs": [
{
"name": "inputs"
......
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -455,5 +455,5 @@
},
"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": "83c555171989cb227c7f3ec3242984ca98ebd3cb33dca5c90afd290386c37304"
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"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.297882Z",
"created": "2020-01-14T15:23:40.112246Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -432,5 +432,5 @@
},
"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": "ec08026d0340a05a0d3651241ba169d89e9fef89a938a5b1f520310ecf036b48"
"digest": "e6d6eda6c3772151e7a5fd0dda878c46ddb9e8743979ecb345c1aeedfed98b31"
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"created": "2020-01-13T21:52:06.402379Z",
"created": "2020-01-14T15:23:40.217621Z",
"inputs": [
{
"name": "inputs"
......
......@@ -21,7 +21,7 @@
"installation": [
{
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"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -441,5 +441,5 @@
},
"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": "7d2788cff7a1d4fbaa6aa29d6362fb12759ead4243c35b6ee0ad88496ecc80b4"
"digest": "c2d3d2dd5f8148975db15cc0203a5afba0e12307ee6034574fb912f808f2246c"
}
\ No newline at end of file
{
"id": "ccb95d57-2617-404b-a99a-de8d2c662c67",
"id": "862df0a2-2f87-450d-a6bd-24e9269a8ba6",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.525698Z",
"created": "2020-01-14T15:23:40.341579Z",
"inputs": [
{
"name": "inputs"
......
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -574,5 +574,5 @@
},
"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": "22b6eb885804c9f4ec76879f9ea9e35a37fc00bce04f3524a7457c9da355d192"
"digest": "39f6c25fff2fb011308408e85c7527345422a797648be66f9b29f67cde1e3770"
}
\ No newline at end of file
{
"id": "980c3494-b5fc-4a8c-99f2-e06a59aafa0c",
"id": "197693cd-8c2d-4e14-b029-8ac13fc646d6",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.672211Z",
"created": "2020-01-14T15:23:40.495865Z",
"inputs": [
{
"name": "inputs"
......
......@@ -24,7 +24,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -707,5 +707,5 @@
},
"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": "ce2f4ee4ef233d8d67efe70e50807e2e6b32abccee9a38602eb4f8ceac8982fe"
"digest": "2654af2b2b7355c0500591d8535930420234d71d2ca25b678a93f170d0f0a18c"
}
\ No newline at end of file
{
"id": "927c39b5-033d-4443-b4da-90bf567f9bd4",
"id": "196d0a56-bc0b-47da-9853-7c17f7cb0ef2",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.779325Z",
"created": "2020-01-14T15:23:40.602254Z",
"inputs": [
{
"name": "inputs"
......
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -362,5 +362,5 @@
},
"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 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": "0a15e0140b3348756923e2cf61d31b9f3d1a08af42785b078f1116bd35ee7601"
"digest": "04d208d0d682d91ad13ebc897acbebd005715603581503e74d224c43bbfe0c31"
}
\ No newline at end of file
{
"id": "d8933294-6e37-41ac-b869-9f2b5d5556b7",
"id": "f13d726c-5c01-4b4a-9530-5d0786437a6a",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.871044Z",
"created": "2020-01-14T15:23:40.697216Z",
"inputs": [
{
"name": "inputs"
......
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -348,5 +348,5 @@
},
"structural_type": "sklearn_wrap.SKNearestCentroid.SKNearestCentroid",
"description": "Primitive wrapping for sklearn NearestCentroid\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.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": "02ed2ce7cf6ec67bd393aca7bcbc29e6b446c30e87ccf1de8630536f946ee5d5"
"digest": "bf80fda9ccdcea59d73af41914cb6d918f000312ebe1dd90b04a5bce15894c5a"
}
\ No newline at end of file
{
"id": "960cc93a-827c-4f11-bacb-2a8d32ead79c",
"id": "8a8f6c59-ef45-424e-ada2-3f199c65d8f6",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:06.992954Z",
"created": "2020-01-14T15:23:40.821167Z",
"inputs": [
{
"name": "inputs"
......
......@@ -21,7 +21,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -569,5 +569,5 @@
},
"structural_type": "sklearn_wrap.SKPassiveAggressiveClassifier.SKPassiveAggressiveClassifier",
"description": "Primitive wrapping for sklearn PassiveAggressiveClassifier\n`sklearn documentation <https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.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": "4fea328b60410f170ac8898cb5b997abb0d87788faedc6065b889640bd267d4a"
"digest": "1ac186ad58b35aeb1cd61631dc5e8b09fb25463764fca1fdee975900115cfe96"
}
\ No newline at end of file
{
"id": "4121094b-aadd-48f7-9c84-94f134d89d57",
"id": "6047f54b-ea82-43fd-9ab7-392fc549d2f1",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2020-01-13T21:52:07.095474Z",
"created": "2020-01-14T15:23:40.922729Z",
"inputs": [
{
"name": "inputs"
......
......@@ -21,7 +21,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@6203646fe4411612c67ff7e087d5638101c4bd1d#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@4a2cfd1dc749bb13ce807b2bf2436a45cd49c695#egg=sklearn_wrap"
}
],