intents_snips_sklearn.json

{
  "dataset_reader": {
    "class_name": "snips_reader",
    "x": "text",
    "y": "intents",
    "data_path": "{DOWNLOADS_PATH}/snips"
  },
  "dataset_iterator": {
    "class_name": "snips_intents_iterator",
    "seed": 42
  },
  "chainer": {
    "in": [
      "x"
    ],
    "in_y": [
      "y"
    ],
    "pipe": [
      {
        "id": "classes_vocab",
        "class_name": "simple_vocab",
        "fit_on": [
          "y"
        ],
        "save_path": "{MODEL_PATH}/classes.dict",
        "load_path": "{MODEL_PATH}/classes.dict",
        "in": "y",
        "out": "y_ids"
      },
      {
        "in": [
          "x"
        ],
        "out": [
          "x_vec"
        ],
        "fit_on": [
          "x",
          "y_ids"
        ],
        "id": "tfidf_vec",
        "class_name": "sklearn_component",
        "save_path": "{MODEL_PATH}/tfidf.pkl",
        "load_path": "{MODEL_PATH}/tfidf.pkl",
        "model_class": "sklearn.feature_extraction.text:TfidfVectorizer",
        "infer_method": "transform",
        "lowercase": true,
        "analyzer": "word",
        "ngram_range": [
          1,
          5
        ],
        "max_features": 10000,
        "norm": null
      },
      {
        "in": [
          "x_vec"
        ],
        "out": [
          "x_sel"
        ],
        "fit_on": [
          "x_vec",
          "y_ids"
        ],
        "id": "selector",
        "class_name": "sklearn_component",
        "save_path": "{MODEL_PATH}/selectkbest.pkl",
        "load_path": "{MODEL_PATH}/selectkbest.pkl",
        "model_class": "sklearn.feature_selection:SelectKBest",
        "infer_method": "transform",
        "score_func": "sklearn.feature_selection:chi2",
        "k": 1000
      },
      {
        "in": [
          "x_sel"
        ],
        "out": [
          "x_pca"
        ],
        "fit_on": [
          "x_sel"
        ],
        "id": "pca",
        "class_name": "sklearn_component",
        "save_path": "{MODEL_PATH}/pca.pkl",
        "load_path": "{MODEL_PATH}/pca.pkl",
        "model_class": "sklearn.decomposition:PCA",
        "infer_method": "transform",
        "n_components": 300
      },
      {
        "class_name": "one_hotter",
        "id": "onehotter",
        "depth": "#classes_vocab.len",
        "in": "y_ids",
        "out": "y_onehot",
        "single_vector": true
      },
      {
        "in": [
          "x_pca"
        ],
        "out": [
          "y_pred_onehot"
        ],
        "fit_on": [
          "x_pca",
          "y_onehot"
        ],
        "class_name": "sklearn_component",
        "main": true,
        "save_path": "{MODEL_PATH}/model.pkl",
        "load_path": "{MODEL_PATH}/model.pkl",
        "model_class": "sklearn.neighbors:KNeighborsClassifier",
        "infer_method": "predict",
        "ensure_list_output": true
      },
      {
        "class_name": "proba2labels",
        "in": "y_pred_onehot",
        "out": "y_pred_ids",
        "max_proba": true
      },
      {
        "ref": "classes_vocab",
        "in": "y_pred_ids",
        "out": "y_pred_labels"
      }
    ],
    "out": [
      "y_pred_labels"
    ]
  },
  "train": {
    "batch_size": 64,
    "metrics": [
      "accuracy"
    ],
    "show_examples": false,
    "evaluation_targets": [
      "train",
      "valid"
    ],
    "class_name": "fit_trainer"
  },
  "metadata": {
    "variables": {
      "ROOT_PATH": "~/.deeppavlov",
      "DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
      "MODELS_PATH": "{ROOT_PATH}/models",
      "MODEL_PATH": "{MODELS_PATH}/classifiers/intents_snips_sklearn_v11"
    },
    "requirements": [
      "{DEEPPAVLOV_PATH}/requirements/tf.txt",
      "{DEEPPAVLOV_PATH}/requirements/fasttext.txt"
    ],
    "download": [
      {
        "url": "http://files.deeppavlov.ai/deeppavlov_data/classifiers/intents_snips_sklearn_v11.tar.gz",
        "subdir": "{MODELS_PATH}/classifiers"
      }
    ]
  }
}