annotate test-data/keras02.json @ 47:6adef419e041 draft default tip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57a0433defa3cbc37ab34fbb0ebcfaeb680db8d5

{
  "class_name": "Functional",
  "config": {
    "name": "model",
    "layers": [
      {
        "class_name": "InputLayer",
        "config": {
          "batch_input_shape": [
            null,
            100
          ],
          "dtype": "int32",
          "sparse": false,
          "ragged": false,
          "name": "main_input"
        },
        "name": "main_input",
        "inbound_nodes": []
      },
      {
        "class_name": "Embedding",
        "config": {
          "name": "embedding",
          "trainable": true,
          "batch_input_shape": [
            null,
            100
          ],
          "dtype": "float32",
          "input_dim": 10000,
          "output_dim": 512,
          "embeddings_initializer": {
            "class_name": "RandomUniform",
            "config": {
              "minval": -0.05,
              "maxval": 0.05,
              "seed": null
            }
          },
          "embeddings_regularizer": null,
          "activity_regularizer": null,
          "embeddings_constraint": null,
          "mask_zero": false,
          "input_length": 100
        },
        "name": "embedding",
        "inbound_nodes": [
          [
            [
              "main_input",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "LSTM",
        "config": {
          "name": "lstm",
          "trainable": true,
          "dtype": "float32",
          "return_sequences": false,
          "return_state": false,
          "go_backwards": false,
          "stateful": false,
          "unroll": false,
          "time_major": false,
          "units": 32,
          "activation": "tanh",
          "recurrent_activation": "sigmoid",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            },
            "shared_object_id": 3
          },
          "recurrent_initializer": {
            "class_name": "Orthogonal",
            "config": {
              "gain": 1.0,
              "seed": null
            },
            "shared_object_id": 4
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {},
            "shared_object_id": 5
          },
          "unit_forget_bias": true,
          "kernel_regularizer": null,
          "recurrent_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "recurrent_constraint": null,
          "bias_constraint": null,
          "dropout": 0.0,
          "recurrent_dropout": 0.0,
          "implementation": 2
        },
        "name": "lstm",
        "inbound_nodes": [
          [
            [
              "embedding",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense",
          "trainable": true,
          "dtype": "float32",
          "units": 1,
          "activation": "sigmoid",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "name": "dense",
        "inbound_nodes": [
          [
            [
              "lstm",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "InputLayer",
        "config": {
          "batch_input_shape": [
            null,
            5
          ],
          "dtype": "float32",
          "sparse": false,
          "ragged": false,
          "name": "aux_input"
        },
        "name": "aux_input",
        "inbound_nodes": []
      },
      {
        "class_name": "Concatenate",
        "config": {
          "name": "concatenate",
          "trainable": true,
          "dtype": "float32",
          "axis": -1
        },
        "name": "concatenate",
        "inbound_nodes": [
          [
            [
              "dense",
              0,
              0,
              {}
            ],
            [
              "aux_input",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_1",
          "trainable": true,
          "dtype": "float32",
          "units": 64,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "name": "dense_1",
        "inbound_nodes": [
          [
            [
              "concatenate",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_2",
          "trainable": true,
          "dtype": "float32",
          "units": 64,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "name": "dense_2",
        "inbound_nodes": [
          [
            [
              "dense_1",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_3",
          "trainable": true,
          "dtype": "float32",
          "units": 64,
          "activation": "relu",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "name": "dense_3",
        "inbound_nodes": [
          [
            [
              "dense_2",
              0,
              0,
              {}
            ]
          ]
        ]
      },
      {
        "class_name": "Dense",
        "config": {
          "name": "dense_4",
          "trainable": true,
          "dtype": "float32",
          "units": 1,
          "activation": "sigmoid",
          "use_bias": true,
          "kernel_initializer": {
            "class_name": "GlorotUniform",
            "config": {
              "seed": null
            }
          },
          "bias_initializer": {
            "class_name": "Zeros",
            "config": {}
          },
          "kernel_regularizer": null,
          "bias_regularizer": null,
          "activity_regularizer": null,
          "kernel_constraint": null,
          "bias_constraint": null
        },
        "name": "dense_4",
        "inbound_nodes": [
          [
            [
              "dense_3",
              0,
              0,
              {}
            ]
          ]
        ]
      }
    ],
    "input_layers": [
      [
        "main_input",
        0,
        0
      ],
      [
        "aux_input",
        0,
        0
      ]
    ],
    "output_layers": [
      [
        "dense",
        0,
        0
      ],
      [
        "dense_4",
        0,
        0
      ]
    ]
  },
  "keras_version": "2.10.0",
  "backend": "tensorflow"
}