зеркало из https://github.com/microsoft/LightGBM.git
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3ccdea1a08
Коммит
41ba9e8f00
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@ -25,7 +25,7 @@ dtype_int64 = 3
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def c_str(string):
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return ctypes.c_char_p(string.encode("utf-8"))
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return ctypes.c_char_p(str(string).encode("utf-8"))
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def load_from_file(filename, reference):
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@ -203,8 +203,8 @@ def test_booster(tmp_path):
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LIB.LGBM_BoosterCreateFromModelfile(c_str(str(model_path)), ctypes.byref(num_total_model), ctypes.byref(booster2))
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data = np.loadtxt(str(binary_example_dir / "binary.test"), dtype=np.float64)
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mat = data[:, 1:]
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preb = np.empty(mat.shape[0], dtype=np.float64)
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num_preb = ctypes.c_int64(0)
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preds = np.empty(mat.shape[0], dtype=np.float64)
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num_preds = ctypes.c_int64(0)
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data = np.asarray(mat.reshape(mat.size), dtype=np.float64)
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LIB.LGBM_BoosterPredictForMat(
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booster2,
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@ -217,8 +217,8 @@ def test_booster(tmp_path):
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ctypes.c_int(0),
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ctypes.c_int(25),
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c_str(""),
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ctypes.byref(num_preb),
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preb.ctypes.data_as(ctypes.POINTER(ctypes.c_double)),
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ctypes.byref(num_preds),
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preds.ctypes.data_as(ctypes.POINTER(ctypes.c_double)),
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)
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LIB.LGBM_BoosterPredictForFile(
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booster2,
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@ -228,7 +228,7 @@ def test_booster(tmp_path):
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ctypes.c_int(0),
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ctypes.c_int(25),
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c_str(""),
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c_str("preb.txt"),
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c_str(tmp_path / "preds.txt"),
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)
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LIB.LGBM_BoosterPredictForFile(
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booster2,
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@ -238,7 +238,7 @@ def test_booster(tmp_path):
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ctypes.c_int(10),
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ctypes.c_int(25),
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c_str(""),
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c_str("preb.txt"),
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c_str(tmp_path / "preds.txt"),
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)
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LIB.LGBM_BoosterFree(booster2)
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