Commit 17d6e29a authored by Mitar's avatar Mitar

Merge branch 'JPL' into 'master'

Sklearn wrap updates

See merge request !20
parents 356e33b6 f7d69561
{
"context": "TESTING",
"created": "2019-04-05T00:42:04.764492Z",
"digest": "63b23aa514d50de8c8389075f55926ed0e239ec00fcafaf8ed29ae6d3144283b",
"id": "421ce65c-8690-4123-92a1-cc72d05b537a",
"created": "2019-04-21T22:40:24.479799Z",
"digest": "b3883f93cb798fe2de185086d88e47ca14e6c865b418c5687ed20a488d8996cd",
"id": "aa289991-9b05-4fa1-8824-5b7f3a77797b",
"inputs": [
{
"name": "inputs"
......@@ -29,7 +29,7 @@
}
],
"primitive": {
"digest": "f0d61fba25b25747d35555b258e221ee246e3eb2f4395a3b96f7b2085ef6667c",
"digest": "7e5aa9eea2a9b6d98b8546bd0e00d190a96126bd572e945f1547cf66a9d5293c",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -50,7 +50,7 @@
}
],
"primitive": {
"digest": "2bbe1d8290bc1ea95610d688a7bdaaca281f83824272f480503c18af41af593a",
"digest": "48627d604ffe92d6e6ab410213fdcf56e0acbf0d248ab8686c4363279d31c21c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -81,11 +81,11 @@
}
],
"primitive": {
"digest": "d7d1c2bd5b669ac4a01334504f92f970fab4bb10e62755a2081f843ae8829796",
"digest": "a442529ad564892290c76819d033429e7b9d7c2912e80ef5a0b0526a2dfd4ebd",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -116,11 +116,11 @@
}
],
"primitive": {
"digest": "14c23efbfc14e6582b483ac830395ec8d571d34faf77aa7b00f4576a997161ac",
"digest": "d08669cb618a7310c8303a3736aac4267add298983135f65176c43881c724488",
"id": "1b2a32a6-0ec5-3ca0-9386-b8b1f1b831d1",
"name": "sklearn.ensemble.bagging.BaggingClassifier",
"python_path": "d3m.primitives.classification.bagging.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -141,7 +141,7 @@
}
],
"primitive": {
"digest": "19d79c7b4ba3ed3991d8ce52a256985209e0d29ba0e6c2a89a9654f08d3bba29",
"digest": "f4a42da4b04cbdefd7c65c180225fc8fbf068669a8611ef6958ca2f338efdc27",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......
......@@ -13,12 +13,12 @@
"https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html"
]
},
"version": "v2019.4.4",
"version": "2019.4.4",
"id": "1b2a32a6-0ec5-3ca0-9386-b8b1f1b831d1",
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@ec0bc85eda8184c7b86440feb41cc2ad1efa6e3e#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@8735151a1aa89f7cf79e33575d4b4545bedd2af7#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -478,5 +478,5 @@
},
"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.",
"digest": "14c23efbfc14e6582b483ac830395ec8d571d34faf77aa7b00f4576a997161ac"
"digest": "d08669cb618a7310c8303a3736aac4267add298983135f65176c43881c724488"
}
\ No newline at end of file
{
"context": "TESTING",
"created": "2019-04-05T00:42:05.439884Z",
"digest": "bbc5ca637d215b66b50e16075f4cd5a7896b53e5f4d7178ff767b85a849a512f",
"id": "151f0ea6-ac67-4cc3-929d-c7b1a6dedee3",
"created": "2019-04-21T22:40:25.144047Z",
"digest": "f1c595e4311ac196f5dcfc5f4ea14899fb2322e0a6fa83b8380a01f62006e4dd",
"id": "7fb06aa5-ae12-4fc8-9915-ed7c6b4ef26a",
"inputs": [
{
"name": "inputs"
......@@ -29,7 +29,7 @@
}
],
"primitive": {
"digest": "f0d61fba25b25747d35555b258e221ee246e3eb2f4395a3b96f7b2085ef6667c",
"digest": "7e5aa9eea2a9b6d98b8546bd0e00d190a96126bd572e945f1547cf66a9d5293c",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -50,7 +50,7 @@
}
],
"primitive": {
"digest": "2bbe1d8290bc1ea95610d688a7bdaaca281f83824272f480503c18af41af593a",
"digest": "48627d604ffe92d6e6ab410213fdcf56e0acbf0d248ab8686c4363279d31c21c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -81,11 +81,11 @@
}
],
"primitive": {
"digest": "d7d1c2bd5b669ac4a01334504f92f970fab4bb10e62755a2081f843ae8829796",
"digest": "a442529ad564892290c76819d033429e7b9d7c2912e80ef5a0b0526a2dfd4ebd",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -116,11 +116,11 @@
}
],
"primitive": {
"digest": "a4f587be39eb64860a6c9034cabdf3c5a38ae9eb680ab8a0cfbcad893d0551ed",
"digest": "536baa7887be78d0185b7809ab9f6ec387cb819f2d16e00d8661dd7afe918409",
"id": "dfb1004e-02ac-3399-ba57-8a95639312cd",
"name": "sklearn.naive_bayes.BernoulliNB",
"python_path": "d3m.primitives.classification.bernoulli_naive_bayes.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -141,7 +141,7 @@
}
],
"primitive": {
"digest": "19d79c7b4ba3ed3991d8ce52a256985209e0d29ba0e6c2a89a9654f08d3bba29",
"digest": "f4a42da4b04cbdefd7c65c180225fc8fbf068669a8611ef6958ca2f338efdc27",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......
......@@ -13,12 +13,12 @@
"https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html"
]
},
"version": "v2019.4.4",
"version": "2019.4.4",
"id": "dfb1004e-02ac-3399-ba57-8a95639312cd",
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@ec0bc85eda8184c7b86440feb41cc2ad1efa6e3e#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@8735151a1aa89f7cf79e33575d4b4545bedd2af7#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -381,5 +381,5 @@
},
"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.",
"digest": "a4f587be39eb64860a6c9034cabdf3c5a38ae9eb680ab8a0cfbcad893d0551ed"
"digest": "536baa7887be78d0185b7809ab9f6ec387cb819f2d16e00d8661dd7afe918409"
}
\ No newline at end of file
{
"context": "TESTING",
"created": "2019-04-05T00:42:05.565141Z",
"digest": "9d829ee550f16c0400f9d78c0bd94476114b5d3629f658d4f45865971508d4c9",
"id": "c69f3d0b-1732-47e7-bdcd-f9b891abe24b",
"created": "2019-04-21T22:40:25.262910Z",
"digest": "41925edc5e060ed3b62aaf4a6aaa3a3358bc9e1128b91aa0a5633e648614896e",
"id": "e5345a46-c5ba-4146-bb94-974967d7df77",
"inputs": [
{
"name": "inputs"
......@@ -29,7 +29,7 @@
}
],
"primitive": {
"digest": "f0d61fba25b25747d35555b258e221ee246e3eb2f4395a3b96f7b2085ef6667c",
"digest": "7e5aa9eea2a9b6d98b8546bd0e00d190a96126bd572e945f1547cf66a9d5293c",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -50,7 +50,7 @@
}
],
"primitive": {
"digest": "2bbe1d8290bc1ea95610d688a7bdaaca281f83824272f480503c18af41af593a",
"digest": "48627d604ffe92d6e6ab410213fdcf56e0acbf0d248ab8686c4363279d31c21c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -81,11 +81,11 @@
}
],
"primitive": {
"digest": "d7d1c2bd5b669ac4a01334504f92f970fab4bb10e62755a2081f843ae8829796",
"digest": "a442529ad564892290c76819d033429e7b9d7c2912e80ef5a0b0526a2dfd4ebd",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -116,11 +116,11 @@
}
],
"primitive": {
"digest": "fa0cee922fb51ed4c46dcf56e6002eaec776e90b920fc38485c056eac45f0ac0",
"digest": "fad58c6fceab815e36e659bd64e76dd44ada7e6d12346081bdc865f7e794d72d",
"id": "e20d003d-6a9f-35b0-b4b5-20e42b30282a",
"name": "sklearn.tree.tree.DecisionTreeClassifier",
"python_path": "d3m.primitives.classification.decision_tree.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -141,7 +141,7 @@
}
],
"primitive": {
"digest": "19d79c7b4ba3ed3991d8ce52a256985209e0d29ba0e6c2a89a9654f08d3bba29",
"digest": "f4a42da4b04cbdefd7c65c180225fc8fbf068669a8611ef6958ca2f338efdc27",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......
......@@ -13,12 +13,12 @@
"https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html"
]
},
"version": "v2019.4.4",
"version": "2019.4.4",
"id": "e20d003d-6a9f-35b0-b4b5-20e42b30282a",
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@ec0bc85eda8184c7b86440feb41cc2ad1efa6e3e#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@8735151a1aa89f7cf79e33575d4b4545bedd2af7#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -596,5 +596,5 @@
},
"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": "fa0cee922fb51ed4c46dcf56e6002eaec776e90b920fc38485c056eac45f0ac0"
"digest": "fad58c6fceab815e36e659bd64e76dd44ada7e6d12346081bdc865f7e794d72d"
}
\ No newline at end of file
{
"context": "TESTING",
"created": "2019-04-05T00:42:05.684167Z",
"digest": "645c9b75479021960d086bedc71691873abe38056d45247c194718e754d9909d",
"id": "fff17c0b-3ecb-4d67-9787-f4c712e0c775",
"created": "2019-04-21T22:40:25.377821Z",
"digest": "65cc91758c641e877c57fff08c7345a58a250234e8e001176de1a5a60188b2a6",
"id": "0445c0eb-8bcc-4a52-98a1-f31828b6839a",
"inputs": [
{
"name": "inputs"
......@@ -29,7 +29,7 @@
}
],
"primitive": {
"digest": "f0d61fba25b25747d35555b258e221ee246e3eb2f4395a3b96f7b2085ef6667c",
"digest": "7e5aa9eea2a9b6d98b8546bd0e00d190a96126bd572e945f1547cf66a9d5293c",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -50,7 +50,7 @@
}
],
"primitive": {
"digest": "2bbe1d8290bc1ea95610d688a7bdaaca281f83824272f480503c18af41af593a",
"digest": "48627d604ffe92d6e6ab410213fdcf56e0acbf0d248ab8686c4363279d31c21c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -81,11 +81,11 @@
}
],
"primitive": {
"digest": "d7d1c2bd5b669ac4a01334504f92f970fab4bb10e62755a2081f843ae8829796",
"digest": "a442529ad564892290c76819d033429e7b9d7c2912e80ef5a0b0526a2dfd4ebd",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -116,11 +116,11 @@
}
],
"primitive": {
"digest": "12090d6298390676c362c1ab27bc3bdfd13a1f9947a40c663822136877f079ea",
"digest": "b6293031af45121424b3aa2b0bdce28927e26086cefbdf14e25cfbb36e5fb236",
"id": "a1056ddf-2e89-3d8d-8308-2146170ae54d",
"name": "sklearn.dummy.DummyClassifier",
"python_path": "d3m.primitives.classification.dummy.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -141,7 +141,7 @@
}
],
"primitive": {
"digest": "19d79c7b4ba3ed3991d8ce52a256985209e0d29ba0e6c2a89a9654f08d3bba29",
"digest": "f4a42da4b04cbdefd7c65c180225fc8fbf068669a8611ef6958ca2f338efdc27",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......
......@@ -13,12 +13,12 @@
"https://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html"
]
},
"version": "v2019.4.4",
"version": "2019.4.4",
"id": "a1056ddf-2e89-3d8d-8308-2146170ae54d",
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@ec0bc85eda8184c7b86440feb41cc2ad1efa6e3e#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@8735151a1aa89f7cf79e33575d4b4545bedd2af7#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -432,5 +432,5 @@
},
"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": "12090d6298390676c362c1ab27bc3bdfd13a1f9947a40c663822136877f079ea"
"digest": "b6293031af45121424b3aa2b0bdce28927e26086cefbdf14e25cfbb36e5fb236"
}
\ No newline at end of file
{
"context": "TESTING",
"created": "2019-04-05T00:42:05.819691Z",
"digest": "69851f595d7d5e55dbcb9bb80d598145c3435419577f33f83ed7e29660b1766b",
"id": "3d9c68fb-c9b6-4cde-beec-016d3877f9a7",
"created": "2019-04-21T22:40:25.514230Z",
"digest": "ddca6107620ec6e86c8f13b594f00dd1f3c3153f2759671e1735229fa7cbc1af",
"id": "b365a343-5947-4054-8e7d-33499e507dab",
"inputs": [
{
"name": "inputs"
......@@ -29,7 +29,7 @@
}
],
"primitive": {
"digest": "f0d61fba25b25747d35555b258e221ee246e3eb2f4395a3b96f7b2085ef6667c",
"digest": "7e5aa9eea2a9b6d98b8546bd0e00d190a96126bd572e945f1547cf66a9d5293c",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -50,7 +50,7 @@
}
],
"primitive": {
"digest": "2bbe1d8290bc1ea95610d688a7bdaaca281f83824272f480503c18af41af593a",
"digest": "48627d604ffe92d6e6ab410213fdcf56e0acbf0d248ab8686c4363279d31c21c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -81,11 +81,11 @@
}
],
"primitive": {
"digest": "d7d1c2bd5b669ac4a01334504f92f970fab4bb10e62755a2081f843ae8829796",
"digest": "a442529ad564892290c76819d033429e7b9d7c2912e80ef5a0b0526a2dfd4ebd",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -116,11 +116,11 @@
}
],
"primitive": {
"digest": "8bbf7364a6fb342784fbc41fac0eed74db46944f635f8e11aed7b3e366dcf6f1",
"digest": "2406d67428c1c2bc088489d44f77e9458d607628d98a993c2855ffef9e378c62",
"id": "c8a28f02-ef4a-35a8-87f1-cf79980f5c3e",
"name": "sklearn.ensemble.forest.ExtraTreesClassifier",
"python_path": "d3m.primitives.classification.extra_trees.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -141,7 +141,7 @@
}
],
"primitive": {
"digest": "19d79c7b4ba3ed3991d8ce52a256985209e0d29ba0e6c2a89a9654f08d3bba29",
"digest": "f4a42da4b04cbdefd7c65c180225fc8fbf068669a8611ef6958ca2f338efdc27",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......
......@@ -13,12 +13,12 @@
"https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html"
]
},
"version": "v2019.4.4",
"version": "2019.4.4",
"id": "c8a28f02-ef4a-35a8-87f1-cf79980f5c3e",
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@ec0bc85eda8184c7b86440feb41cc2ad1efa6e3e#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@8735151a1aa89f7cf79e33575d4b4545bedd2af7#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -645,5 +645,5 @@
},
"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": "8bbf7364a6fb342784fbc41fac0eed74db46944f635f8e11aed7b3e366dcf6f1"
"digest": "2406d67428c1c2bc088489d44f77e9458d607628d98a993c2855ffef9e378c62"
}
\ No newline at end of file
{
"context": "TESTING",
"created": "2019-04-05T00:42:05.926901Z",
"digest": "1b30172553535342155bbbc53913b6bc09f1c84a1f1a96c9d76f714567a6f629",
"id": "52330bcc-a8bb-4754-bc2b-67c90d86d127",
"created": "2019-04-21T22:40:25.639770Z",
"digest": "ae8f8b9ac064d0c151c5a403e7de7624e338d4594c9df2e4d6e1735d74a15e77",
"id": "10d38508-1654-416c-a690-facf1b6682e6",
"inputs": [
{
"name": "inputs"
......@@ -29,7 +29,7 @@
}
],
"primitive": {
"digest": "f0d61fba25b25747d35555b258e221ee246e3eb2f4395a3b96f7b2085ef6667c",
"digest": "7e5aa9eea2a9b6d98b8546bd0e00d190a96126bd572e945f1547cf66a9d5293c",
"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"name": "Extract a DataFrame from a Dataset",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
......@@ -50,7 +50,7 @@
}
],
"primitive": {
"digest": "2bbe1d8290bc1ea95610d688a7bdaaca281f83824272f480503c18af41af593a",
"digest": "48627d604ffe92d6e6ab410213fdcf56e0acbf0d248ab8686c4363279d31c21c",
"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
"name": "Parses strings into their types",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
......@@ -81,11 +81,11 @@
}
],
"primitive": {
"digest": "d7d1c2bd5b669ac4a01334504f92f970fab4bb10e62755a2081f843ae8829796",
"digest": "a442529ad564892290c76819d033429e7b9d7c2912e80ef5a0b0526a2dfd4ebd",
"id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
"name": "sklearn.impute.SimpleImputer",
"python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -116,11 +116,11 @@
}
],
"primitive": {
"digest": "7c737953f29698ed693907d30c351a2607cdad4eced2e2cb2f1e056ef9d5a9cd",
"digest": "fcda691d361be811f5fb25221d49686a03581c9396fd432ce119143f3d4f6422",
"id": "464783a8-771e-340d-999b-ae90b9f84f0b",
"name": "sklearn.naive_bayes.GaussianNB",
"python_path": "d3m.primitives.classification.gaussian_naive_bayes.SKlearn",
"version": "v2019.4.4"
"version": "2019.4.4"
},
"type": "PRIMITIVE"
},
......@@ -141,7 +141,7 @@
}
],
"primitive": {
"digest": "19d79c7b4ba3ed3991d8ce52a256985209e0d29ba0e6c2a89a9654f08d3bba29",
"digest": "f4a42da4b04cbdefd7c65c180225fc8fbf068669a8611ef6958ca2f338efdc27",
"id": "8d38b340-f83f-4877-baaa-162f8e551736",
"name": "Construct pipeline predictions output",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
......
......@@ -13,12 +13,12 @@
"https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html"
]
},
"version": "v2019.4.4",
"version": "2019.4.4",
"id": "464783a8-771e-340d-999b-ae90b9f84f0b",
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@ec0bc85eda8184c7b86440feb41cc2ad1efa6e3e#egg=sklearn_wrap"
"package_uri": "git+https://gitlab.com/datadrivendiscovery/sklearn-wrap.git@8735151a1aa89f7cf79e33575d4b4545bedd2af7#egg=sklearn_wrap"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -344,5 +344,5 @@
},
"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": "7c737953f29698ed693907d30c351a2607cdad4eced2e2cb2f1e056ef9d5a9cd"
"digest": "fcda691d361be811f5fb25221d49686a03581c9396fd432ce119143f3d4f6422"
}
\ No newline at end of file