Exemplos de make_transformer_problem em Python

Exemplo n.º 1

Arquivo: test_compose_tab_to_panel.py Projeto: juanitorduz/sktime

AGGFUNCS = [
    np.mean,
    np.std,
    np.var,
    np.sum,
    np.prod,
    np.min,
    np.max,
    np.argmin,
    np.argmax,
    np.any,
]

X1_list_df = make_transformer_problem(n_instances=4,
                                      n_columns=4,
                                      n_timepoints=5,
                                      random_state=1,
                                      return_numpy=False)
X2_list_df = make_transformer_problem(n_instances=5,
                                      n_columns=4,
                                      n_timepoints=5,
                                      random_state=2,
                                      return_numpy=False)

X1_num_pan = convert_to(X1_list_df, to_type="numpy3D")
X2_num_pan = convert_to(X2_list_df, to_type="numpy3D")


def test_aggr():
    """Test that AggrDist produces expected pre-computed result on fixtures."""
    # test 3d numpy

Exemplo n.º 2

Arquivo: test_all_dist_kernels.py Projeto: whackteachers/sktime

from sktime.utils import all_estimators
from sktime.utils._testing.panel import make_transformer_problem
from sktime.tests._config import ESTIMATOR_TEST_PARAMS

PAIRWISE_TRANSFORMERS = all_estimators(estimator_types="transformer-pairwise",
                                       return_names=False)
PAIRWISE_TRANSFORMERS_PANEL = all_estimators(
    estimator_types="transformer-pairwise-panel", return_names=False)

EXPECTED_SHAPE = (4, 5)

X1_tab = make_transformer_problem(
    n_instances=4,
    n_columns=4,
    n_timepoints=5,
    random_state=1,
    return_numpy=True,
    panel=False,
)
X2_tab = make_transformer_problem(
    n_instances=5,
    n_columns=5,
    n_timepoints=5,
    random_state=2,
    return_numpy=True,
    panel=False,
)

X1_tab_df = make_transformer_problem(
    n_instances=4,
    n_columns=4,

Exemplo n.º 3

Arquivo: test_scipy_dist.py Projeto: fspinna/sktime_forked

# -*- coding: utf-8 -*-
import numpy as np

from sktime.utils._testing.panel import make_transformer_problem
from sktime.dists_kernels.scipy_dist import ScipyDist

X1 = make_transformer_problem(
    n_instances=5,
    n_columns=5,
    n_timepoints=5,
    random_state=1,
    return_numpy=True,
    panel=False,
)
X2 = make_transformer_problem(
    n_instances=5,
    n_columns=5,
    n_timepoints=5,
    random_state=2,
    return_numpy=True,
    panel=False,
)

X1_df = make_transformer_problem(
    n_instances=5,
    n_columns=5,
    n_timepoints=5,
    random_state=1,
    return_numpy=False,
    panel=False,
)