Jiaming Yuan 3901f5d9db
[pyspark] Cleanup data processing. (#8344)
* Enable additional combinations of ctor parameters.
* Unify procedures for QuantileDMatrix and DMatrix.
2022-10-18 14:56:23 +08:00

28 lines
737 B
Python

import sys
from typing import List
import numpy as np
import pandas as pd
import pytest
sys.path.append("tests/python")
import testing as tm
if tm.no_spark()["condition"]:
pytest.skip(msg=tm.no_spark()["reason"], allow_module_level=True)
if sys.platform.startswith("win") or sys.platform.startswith("darwin"):
pytest.skip("Skipping PySpark tests on Windows", allow_module_level=True)
from test_spark.test_data import run_dmatrix_ctor
@pytest.mark.skipif(**tm.no_cudf())
@pytest.mark.parametrize(
"is_feature_cols,is_qdm",
[(True, True), (True, False), (False, True), (False, False)],
)
def test_dmatrix_ctor(is_feature_cols: bool, is_qdm: bool) -> None:
run_dmatrix_ctor(is_feature_cols, is_qdm, on_gpu=True)