c22e6a2919a9d1b49335b6fede01852cf01395a2,snorkel/learning/gen_learning.py,GenerativeModel,train,#GenerativeModel#,72

Before Change

        // Check to make sure matrix is int-valued
        element_type = type(L[0,0])
        if not element_type in [np.int64, np.int32, int]:
            raise ValueError(Label matrix must have int-type elements, 
                but elements have type %s % element_type)

        // Automatically infer cardinality
        // Binary: Values in {-1, 0, 1} [Default]
        // Categorical: Values in {0, 1, ..., K}
        if cardinality is None:
            // If candidate_ranges is provided, use this to determine cardinality
            if candidate_ranges is not None:
                cardinality = max(map(max, candidate_ranges))

After Change

        step_size = step_size or 0.0001

        // Check to make sure matrix is int-valued
        if not (isinstance(L[0,0], np.int64) or isinstance(L[0,0], np.int32) or isinstance(L[0,0], int)):
            raise ValueError(Label matrix must have int-type elements, 
                but elements have type %s % type(L[0,0]))

        // Automatically infer cardinality
        // Binary: Values in {-1, 0, 1} [Default]
        // Categorical: Values in {0, 1, ..., K}
        if cardinality is None:
            // If candidate_ranges is provided, use this to determine cardinality
            if candidate_ranges is not None:
                cardinality = max(map(max, candidate_ranges))

Instances