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mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1) | Automatically created scikit-learn flow. |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_00_data | {"inputs": [], "name": "data", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_01_hybridsequential0_batchnorm0_gamma | {"attrs": {"__dtype__": "0", "__init__": "ones", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_gamma", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_02_hybridsequential0_batchnorm0_beta | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_beta", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_03_hybridsequential0_batchnorm0_running_mean | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_running_mean", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_04_hybridsequential0_batchnorm0_running_var | {"attrs": {"__dtype__": "0", "__init__": "ones", "__lr_mult__": "1.0", "__shape__": "(0,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_batchnorm0_running_var", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_05_hybridsequential0_batchnorm0_fwd | {"attrs": {"axis": "1", "eps": "1e-05", "fix_gamma": "False", "momentum": "0.9", "use_global_stats": "False"}, "inputs": [[0, 0, 0], [1, 0, 0], [2, 0, 0], [3, 0, 8], [4, 0, 8]], "name": "hybridsequential0_batchnorm0_fwd", "op": "BatchNorm"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_06_hybridsequential0_dense0_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(256, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense0_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_07_hybridsequential0_dense0_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(256,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense0_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_08_hybridsequential0_dense0_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[5, 0, 0], [6, 0, 0], [7, 0, 0]], "name": "hybridsequential0_dense0_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_09_hybridsequential0_dense0_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[8, 0, 0]], "name": "hybridsequential0_dense0_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_10_hybridsequential0_dropout0_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.25"}, "inputs": [[9, 0, 0]], "name": "hybridsequential0_dropout0_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_11_hybridsequential0_dense1_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(256, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_12_hybridsequential0_dense1_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(256,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense1_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_13_hybridsequential0_dense1_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "256"}, "inputs": [[10, 0, 0], [11, 0, 0], [12, 0, 0]], "name": "hybridsequential0_dense1_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_14_hybridsequential0_dense1_relu_fwd | {"attrs": {"act_type": "relu"}, "inputs": [[13, 0, 0]], "name": "hybridsequential0_dense1_relu_fwd", "op": "Activation"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_15_hybridsequential0_dropout1_fwd | {"attrs": {"axes": "()", "cudnn_off": "False", "p": "0.35"}, "inputs": [[14, 0, 0]], "name": "hybridsequential0_dropout1_fwd", "op": "Dropout"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_16_hybridsequential0_dense2_weight | {"attrs": {"__dtype__": "0", "__lr_mult__": "1.0", "__shape__": "(2, 0)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_weight", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_17_hybridsequential0_dense2_bias | {"attrs": {"__dtype__": "0", "__init__": "zeros", "__lr_mult__": "1.0", "__shape__": "(2,)", "__storage_type__": "0", "__wd_mult__": "1.0"}, "inputs": [], "name": "hybridsequential0_dense2_bias", "op": "null"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_18_hybridsequential0_dense2_fwd | {"attrs": {"flatten": "True", "no_bias": "False", "num_hidden": "2"}, "inputs": [[15, 0, 0], [16, 0, 0], [17, 0, 0]], "name": "hybridsequential0_dense2_fwd", "op": "FullyConnected"} |
mxnet.gluon.nn.basic_layers.HybridSequential.e59b914b(1)_misc | {"arg_nodes": [0, 1, 2, 3, 4, 6, 7, 11, 12, 16, 17], "attrs": {"mxnet_version": ["int", 10500]}, "heads": [[18, 0, 0]], "node_row_ptr": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 20, 21, 22, 23]} |
0.7742 ± 0.0511 Per class Cross-validation details (10-fold Crossvalidation)
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0.7361 ± 0.0374 Per class Cross-validation details (10-fold Crossvalidation)
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0.3574 ± 0.0943 Cross-validation details (10-fold Crossvalidation)
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247.5606 ± 7.2252 Cross-validation details (10-fold Crossvalidation)
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0.3071 ± 0.0255 Cross-validation details (10-fold Crossvalidation)
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0.4202 Cross-validation details (10-fold Crossvalidation)
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1000 Per class Cross-validation details (10-fold Crossvalidation) |
0.7329 ± 0.0413 Per class Cross-validation details (10-fold Crossvalidation)
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0.744 ± 0.0363 Cross-validation details (10-fold Crossvalidation)
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0.8818 Cross-validation details (10-fold Crossvalidation)
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0.744 ± 0.0363 Per class Cross-validation details (10-fold Crossvalidation)
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0.7309 ± 0.0608 Cross-validation details (10-fold Crossvalidation)
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0.4583 Cross-validation details (10-fold Crossvalidation)
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0.4154 ± 0.0241 Cross-validation details (10-fold Crossvalidation)
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0.9065 ± 0.0525 Cross-validation details (10-fold Crossvalidation)
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