def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "sigmoid", 1)
def sigmoid(x):
return 1 / (1 + math.exp(-x))
self.sigmoid = np.vectorize(sigmoid)
def __init__(self, column_id, number_bins=10, qbucket=False):
name = ""
if qbucket:
name += 'q'
name += "bucket"
NumericTransformer.__init__(self, column_id, name, 1)
self.number_bins = number_bins
self.qbucket = qbucket
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "log", 1)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "imputer", 1)
self.seed = 42
self.model = Imputer()
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "degrees", 1)
def __init__(self, column_id, number_clusters=10):
NumericTransformer.__init__(self, column_id, "cluster", 1)
self.number_clusters = number_clusters
self.seed = 42
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "winsorize", 1)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "trimtail", 1)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "dummy", 2)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "radians", 1)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "plot_pos", 1)
def __init__(self, column_id, threshold=0.0):
NumericTransformer.__init__(self, column_id, "binary", 1)
self.threshold = threshold
self.model = Binarizer(self.threshold)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "square", 1)
def __init__(self, column_id, output_distribution='normal'):
NumericTransformer.__init__(self, column_id, "quantile", 1)
self.seed = 42
self.output_distribution = output_distribution #'uniform'
def __init__(self, column_id, degree=2):
NumericTransformer.__init__(self, column_id, "polynomial", degree+1)
self.seed = 42
self.degree = degree
self.model = PolynomialFeatures(self.degree)
def __init__(self, column_id):
NumericTransformer.__init__(self, column_id, "identity", 1)