svm.mlem

artifacts:
  data:
    hash: 56a719e06202368c953540a7cb3e37ef
    size: 142616
    uri: svm
call_orders:
  predict:
  - - model
    - predict
object_type: model
processors:
  model:
    methods:
      predict:
        args:
        - name: X
          type_:
            columns:
            - ''
            - fixed acidity
            - volatile acidity
            - citric acid
            - residual sugar
            - chlorides
            - free sulfur dioxide
            - total sulfur dioxide
            - density
            - pH
            - sulphates
            - alcohol
            dtypes:
            - int64
            - float64
            - float64
            - float64
            - float64
            - float64
            - float64
            - float64
            - float64
            - float64
            - float64
            - float64
            index_cols:
            - ''
            type: dataframe
        name: predict
        returns:
          dtype: int64
          shape:
          - null
          type: ndarray
        varkw: predict_params
    type: sklearn_pipeline
requirements:
- module: numpy
  version: 1.24.2
- module: pandas
  version: 1.5.3
- module: sklearn
  package_name: scikit-learn
  version: 1.2.2