Commit 8ac6ed0f authored by Sujen's avatar Sujen

Merge branch 'no_corex_text' into 'master'

isi_bugfix

See merge request !278
parents 2015dc86 adc6c810
......@@ -13,7 +13,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/brekelma/[email protected]828d2fad21c257a9c4c04e7725c116d185339294#egg=dsbox_graphs"
"package_uri": "git+https://github.com/brekelma/[email protected]9d26a8a0c0ae9394462768e90cd795685123da60#egg=dsbox_graphs"
}
],
"algorithm_types": [
......@@ -201,5 +201,5 @@
},
"structural_type": "graph_dataset_to_list.GraphDatasetToList",
"description": "A primitive which extracts a DataFrame out of a Dataset.\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": "0a5d2844f8997cba038235151ba13874038d9ee70cd9d2483ae2dfab19ef7f07"
"digest": "7574f62c1a6f1c29f0528f72edef98f74304cce517544334951613bf53d450f7"
}
......@@ -16,7 +16,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/brekelma/[email protected]f7b6319bd593017345b03e27408b097e9af821e9#egg=dsbox-corex"
"package_uri": "git+https://github.com/brekelma/[email protected]728680af809387f38f4357583e2b679397ade07d#egg=dsbox-corex"
}
],
"algorithm_types": [
......@@ -214,5 +214,5 @@
}
},
"structural_type": "corex_continuous.CorexContinuous",
"digest": "f64e6571e41701029c7cda222200df4258e25c6f2c7a3ccba53a60dee9834fb1"
"digest": "286cffd5b45a3f24f0e2afba11b6e6486b049d65cdcd6cf7d0d03a78b2048f85"
}
......@@ -10,7 +10,7 @@
],
"outputs":[
{
"data":"steps.5.produce",
"data":"steps.9.produce",
"name":"predictions of input dataset"
}
],
......@@ -142,6 +142,27 @@
"name":"ISI DSBox Data Encoder",
"digest":"09795e9b7c78a5463c10749a29ce40bf6a2a56cc46541bd00b0d7308483ec0be"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.3.produce"
}
},
"outputs":[
{
"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"18f0bb42-6350-3753-8f2d-d1c3da70f279",
"version":"1.5.1",
"python_path":"d3m.primitives.data_preprocessing.encoder.DSBOX",
"name":"ISI DSBox Data Encoder",
"digest":"09795e9b7c78a5463c10749a29ce40bf6a2a56cc46541bd00b0d7308483ec0be"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
......@@ -166,7 +187,7 @@
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.4.produce"
"data":"steps.5.produce"
}
},
"outputs":[
......@@ -187,7 +208,7 @@
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.5.produce"
"data":"steps.6.produce"
}
},
"outputs":[
......@@ -207,12 +228,12 @@
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.6.produce"
"data":"steps.7.produce"
},
"outputs":
{
"type":"CONTAINER",
"data":"steps.3.produce"
"data":"steps.4.produce"
}
},
"outputs":[
......@@ -242,12 +263,12 @@
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.7.produce"
"data":"steps.8.produce"
},
"outputs":
{
"type":"CONTAINER",
"data":"steps.3.produce"
"data":"steps.4.produce"
}
},
"outputs":[
......
{
"problem":"196_autompg_problem",
"problem":"196_autoMpg_problem",
"full_inputs":[
"196_autompg_dataset"
"196_autoMpg_dataset"
],
"train_inputs":[
"196_autompg_dataset_TRAIN"
"196_autoMpg_dataset_TRAIN"
],
"test_inputs":[
"196_autompg_dataset_TEST"
"196_autoMpg_dataset_TEST"
],
"score_inputs":[
"196_autompg_dataset_SCORE"
"196_autoMpg_dataset_SCORE"
]
}
\ No newline at end of file
......@@ -16,7 +16,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/brekelma/[email protected]f7b6319bd593017345b03e27408b097e9af821e9#egg=dsbox-corex"
"package_uri": "git+https://github.com/brekelma/[email protected]728680af809387f38f4357583e2b679397ade07d#egg=dsbox-corex"
}
],
"algorithm_types": [
......@@ -399,5 +399,5 @@
}
},
"structural_type": "echo_ib.EchoIB",
"digest": "038b459324f4e5de273e7de4c26e02ff9bfa766486d3083d22a8c7d6df8f5d31"
"digest": "a79c584df69f09b9b459d68273bb82a465886befc32c8dee74adfdc4065893e7"
}
......@@ -16,7 +16,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/brekelma/[email protected]f7b6319bd593017345b03e27408b097e9af821e9#egg=dsbox-corex"
"package_uri": "git+https://github.com/brekelma/[email protected]728680af809387f38f4357583e2b679397ade07d#egg=dsbox-corex"
}
],
"algorithm_types": [
......@@ -45,9 +45,9 @@
],
"hyperparams": {
"n_hidden": {
"type": "d3m.metadata.hyperparams.Uniform",
"type": "d3m.metadata.hyperparams.UniformInt",
"default": 10,
"structural_type": "float",
"structural_type": "int",
"semantic_types": [
"http://schema.org/Integer",
"https://metadata.datadrivendiscovery.org/types/TuningParameter"
......@@ -56,13 +56,12 @@
"lower": 0,
"upper": 100,
"lower_inclusive": true,
"upper_inclusive": false,
"q": 1
"upper_inclusive": false
},
"threshold": {
"type": "d3m.metadata.hyperparams.Uniform",
"type": "d3m.metadata.hyperparams.UniformInt",
"default": 0,
"structural_type": "float",
"structural_type": "int",
"semantic_types": [
"http://schema.org/Integer",
"https://metadata.datadrivendiscovery.org/types/TuningParameter"
......@@ -71,13 +70,12 @@
"lower": 0,
"upper": 1000,
"lower_inclusive": true,
"upper_inclusive": false,
"q": 1
"upper_inclusive": false
},
"n_grams": {
"type": "d3m.metadata.hyperparams.Uniform",
"type": "d3m.metadata.hyperparams.UniformInt",
"default": 1,
"structural_type": "float",
"structural_type": "int",
"semantic_types": [
"http://schema.org/Integer",
"https://metadata.datadrivendiscovery.org/types/TuningParameter"
......@@ -86,8 +84,7 @@
"lower": 1,
"upper": 1000,
"lower_inclusive": true,
"upper_inclusive": false,
"q": 1
"upper_inclusive": false
},
"max_df": {
"type": "d3m.metadata.hyperparams.Uniform",
......@@ -261,5 +258,5 @@
}
},
"structural_type": "corex_text.CorexText",
"digest": "7210babace7d873323d9aa99ee67089f7272b78c25224a01da3cbf0afc6597c0"
"digest": "60315a4533867e6c09861ba0cd9d637abce3af67682474294cb128c2a38631ba"
}
{
"id":"cd756d0f-f9cc-4e34-bb8b-6484319e44cc",
"schema":"https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created":"2019-06-05T03:44:33.899641Z",
"inputs":[
{
"name":"input dataset"
}
],
"outputs":[
{
"data":"steps.6.produce",
"name":"predictions of input dataset"
}
],
"steps":[
{
"type":"PRIMITIVE",
"primitive":{
"id":"f31f8c1f-d1c5-43e5-a4b2-2ae4a761ef2e",
"version":"0.2.0",
"python_path":"d3m.primitives.data_transformation.denormalize.Common",
"name":"Denormalize datasets"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"inputs.0"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"starting_resource":{
"type":"VALUE",
"data":null
},
"recursive":{
"type":"VALUE",
"data":true
},
"many_to_many":{
"type":"VALUE",
"data":false
},
"discard_not_joined_tabular_resources":{
"type":"VALUE",
"data":false
}
}
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"dbb3792d-a44b-4941-a88e-5520c0a23488",
"version":"0.1.0",
"python_path":"d3m.primitives.data_transformation.normalize_graphs.Common",
"name":"Normalize graphs"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.0.produce"
}
},
"outputs":[
{
"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"dfb8c278-5382-47cd-bd39-f9429890a239",
"version":"1.0.0",
"python_path":"d3m.primitives.data_transformation.graph_to_edge_list.DSBOX",
"name":"Extract graph tables from Dataset into list of DataFrame"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.1.produce"
}
},
"outputs":[
{
"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"version":"0.3.0",
"python_path":"d3m.primitives.data_transformation.dataset_to_dataframe.Common",
"name":"Extract a DataFrame from a Dataset"
},
"arguments":{
"inputs":{
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"data":"steps.0.produce"
}
},
"outputs":[
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"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"version":"0.2.0",
"python_path":"d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
"name":"Extracts columns by semantic type"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.3.produce"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"semantic_types":{
"type":"VALUE",
"data":[
"https://metadata.datadrivendiscovery.org/types/TrueTarget"
]
}
}
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"48572851-b86b-4fda-961d-f3f466adb58e",
"version":"1.0.0",
"python_path":"d3m.primitives.feature_construction.graph_transformer.GCN",
"name":"GCN"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.2.produce"
},
"outputs":{
"type":"CONTAINER",
"data":"steps.4.produce"
}
},
"outputs":[
{
"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"1dd82833-5692-39cb-84fb-2455683075f3",
"version":"2019.4.4",
"python_path":"d3m.primitives.classification.random_forest.SKlearn",
"name":"sklearn.ensemble.forest.RandomForestClassifier"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.5.produce"
},
"outputs":{
"type":"CONTAINER",
"data":"steps.4.produce"
}
},
"outputs":[
{
"id":"produce"
}
],
"hyperparams":{
"max_depth":{
"type":"VALUE",
"data":{
"case":"int",
"value":30
}
},
"min_samples_leaf":{
"type":"VALUE",
"data":{
"case":"absolute",
"value":2
}
},
"min_samples_split":{
"type":"VALUE",
"data":{
"case":"absolute",
"value":2
}
},
"max_features":{
"type":"VALUE",
"data":{
"case":"calculated",
"value":"sqrt"
}
},
"n_estimators":{
"type":"VALUE",
"data":100
},
"add_index_columns":{
"type":"VALUE",
"data":true
},
"use_semantic_types":{
"type":"VALUE",
"data":false
},
"error_on_no_input":{
"type":"VALUE",
"data":true
}
}
}
],
"name":"ISI_gcn:140244824113296",
"description":"",
"metric":"accuracy",
"template_name":"ISI_gcn",
"template_task":"{'LINK_PREDICTION', 'COMMUNITY_DETECTION', 'VERTEX_NOMINATION', 'COLLABORATIVE_FILTERING'}",
"template_subtask":"{'OVERLAPPING', 'NONE', 'NONOVERLAPPING'}",
"problem_taskType":"vertexNomination",
"problem_taskSubType":"NONE"
}
{
"problem":"LL1_EDGELIST_net_nomination_seed_problem",
"full_inputs":[
"LL1_EDGELIST_net_nomination_seed_dataset"
],
"train_inputs":[
"LL1_EDGELIST_net_nomination_seed_dataset_TRAIN"
],
"test_inputs":[
"LL1_EDGELIST_net_nomination_seed_dataset_TEST"
],
"score_inputs":[
"LL1_EDGELIST_net_nomination_seed_dataset_SCORE"
]
}
{
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"schema":"https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created":"2019-06-05T03:44:33.899641Z",
"inputs":[
{
"name":"input dataset"
}
],
"outputs":[
{
"data":"steps.6.produce",
"name":"predictions of input dataset"
}
],
"steps":[
{
"type":"PRIMITIVE",
"primitive":{
"id":"f31f8c1f-d1c5-43e5-a4b2-2ae4a761ef2e",
"version":"0.2.0",
"python_path":"d3m.primitives.data_transformation.denormalize.Common",
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},
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"outputs":[
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],
"hyperparams":{
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"data":null
},
"recursive":{
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"data":true
},
"many_to_many":{
"type":"VALUE",
"data":false
},
"discard_not_joined_tabular_resources":{
"type":"VALUE",
"data":false
}
}
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"dbb3792d-a44b-4941-a88e-5520c0a23488",
"version":"0.1.0",
"python_path":"d3m.primitives.data_transformation.normalize_graphs.Common",
"name":"Normalize graphs"
},
"arguments":{
"inputs":{
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"data":"steps.0.produce"
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},
"outputs":[
{
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]
},
{
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"primitive":{
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"version":"1.0.0",
"python_path":"d3m.primitives.data_transformation.graph_to_edge_list.DSBOX",
"name":"Extract graph tables from Dataset into list of DataFrame"
},
"arguments":{
"inputs":{
"type":"CONTAINER",
"data":"steps.1.produce"
}
},
"outputs":[
{
"id":"produce"
}
]
},
{
"type":"PRIMITIVE",
"primitive":{
"id":"4b42ce1e-9b98-4a25-b68e-fad13311eb65",
"version":"0.3.0",
"python_path":"d3m.primitives.data_transformation.dataset_to_dataframe.Common",
"name":"Extract a DataFrame from a Dataset"
},
"arguments":{
"inputs":{
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"data":"steps.0.produce"
}
},
"outputs":[
{