Commit e2c93728 authored by Ke-Thia Yao's avatar Ke-Thia Yao

version 1.5.1

parent 17b5d78b
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"id": "dsbox-featurizer-video-classification-lstm",
"version": "1.5.0",
"version": "1.5.1",
"name": "DSBox Video Classification LSTM",
"description": "video classification primitive that use lstm RNN network\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.",
"python_path": "d3m.primitives.classification.lstm.DSBOX",
......@@ -23,7 +23,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/[email protected]be7fde1416f3de3644ffba84efda207e4cfc4373#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/[email protected]9ffd48258d3f3d7d8d116162b9ed1a01222a014e#egg=dsbox-primitives"
}
],
"precondition": [],
......@@ -324,5 +324,5 @@
}
},
"structural_type": "dsbox.datapreprocessing.featurizer.image.video_classification.LSTM",
"digest": "621116be054679de9c2433ac0d9ce7090955d2e1b73c27311e6ccd5c4ae11807"
"digest": "9271fbaea6dde07a98899944e1125165f5af58661feb8f29d4d349b90849b994"
}
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"196_autoMpg_problem",
"full_inputs":[
"196_autoMpg_dataset"
],
"train_inputs":[
"196_autoMpg_dataset_TRAIN"
],
"test_inputs":[
"196_autoMpg_dataset_TEST"
],
"score_inputs":[
"196_autoMpg_dataset_SCORE"
]
}
\ No newline at end of file
{
"id": "dsbox-featurizer-image-dataframe-to-tensor",
"version": "1.5.0",
"version": "1.5.1",
"name": "DSBox Image Featurizer dataframe to tensor transformer",
"description": "For image data only:\nTranform the input Dataframe format data(after DatasetToDataFramePrimitive step)\ninto ndarray format data (finding the image type data and read them)\nso that it could be processed by other image process primitives\n\nThe output may look like:\n-------------------------------------------------------------------------------------\noutput_List[0]:\nThe d3mIndex (may not continuous if the dataset was splited previously)\n[12, 20, 40, 6, 22...]\n\noutput_List[1]:\na 4 dimension numpy nd array:\ndimension 1: The index of each image\ndimension 2: The index of each layer inside the image (R/G/B)\ndimension 3&4: The pixel location of each image of each layer\neach value: each pixel value\n...\n\n-------------------------------------------------------------------------------------\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.",
"python_path": "d3m.primitives.data_preprocessing.dataframe_to_tensor.DSBOX",
......@@ -22,7 +22,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://github.com/usc-isi-i2/[email protected]be7fde1416f3de3644ffba84efda207e4cfc4373#egg=dsbox-primitives"
"package_uri": "git+https://github.com/usc-isi-i2/[email protected]9ffd48258d3f3d7d8d116162b9ed1a01222a014e#egg=dsbox-primitives"
}
],
"precondition": [],
......@@ -247,5 +247,5 @@
}
},
"structural_type": "dsbox.datapreprocessing.featurizer.image.dataframe_to_tensor.DataFrameToTensor",
"digest": "48dc813458994522eb95501af7a8c8f4b0123b9816dddc898d2129f1243b8cc8"
"digest": "c1a51a5285daa302a55821259cd33d064f40c9109f96a8294e0235273a1b7645"
}
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"196_autoMpg_problem",
"full_inputs":[
"196_autoMpg_dataset"
],
"train_inputs":[
"196_autoMpg_dataset_TRAIN"
],
"test_inputs":[
"196_autoMpg_dataset_TEST"
],
"score_inputs":[
"196_autoMpg_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"196_autoMpg_problem",
"full_inputs":[
"196_autoMpg_dataset"
],
"train_inputs":[
"196_autoMpg_dataset_TRAIN"
],
"test_inputs":[
"196_autoMpg_dataset_TEST"
],
"score_inputs":[
"196_autoMpg_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"38_sick_problem",
"full_inputs":[
"38_sick_dataset"
],
"train_inputs":[
"38_sick_dataset_TRAIN"
],
"test_inputs":[
"38_sick_dataset_TEST"
],
"score_inputs":[
"38_sick_dataset_SCORE"
]
}
\ No newline at end of file
{
"problem":"196_autoMpg_problem",
"full_inputs":[
"196_autoMpg_dataset"
],
"train_inputs":[
"196_autoMpg_dataset_TRAIN"
],
"test_inputs":[
"196_autoMpg_dataset_TEST"
],
"score_inputs":[
"196_autoMpg_dataset_SCORE"
]
}
\ No newline at end of file
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