Beispiel #1
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 def test_mean2(self):
     self.assertTrue(
         np.allclose(
             sml.matrix(m1).mean(axis=0),
             m1.mean(axis=0).reshape(1, dim)))
Beispiel #2
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 def test_plus2(self):
     self.assertTrue(np.allclose(m1 + sml.matrix(m2), m1 + m2))
Beispiel #3
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 def test_power2(self):
     self.assertTrue(np.allclose(m1 ** sml.matrix(m2), m1 ** m2))
Beispiel #4
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 def test_le(self):
     self.assertTrue(np.allclose(sml.matrix(m1) <= sml.matrix(m2), m1 <= m2))
Beispiel #5
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 def test_minus1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) - m2, m1 - m2))
Beispiel #6
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 def test_mul3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) * s, m1 * s))
Beispiel #7
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 def test_minus4(self):
     self.assertTrue(np.allclose(s - sml.matrix(m2), s - m2))
Beispiel #8
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 def test_mean3(self):
     self.assertTrue(np.allclose(sml.matrix(m1).mean(axis=1), m1.mean(axis=1).reshape(dim, 1)))
Beispiel #9
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 def test_vstack(self):
     self.assertTrue(np.allclose(sml.matrix(m1).vstack(sml.matrix(m1)), np.vstack((m1, m1))))
Beispiel #10
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 def test_var2(self):
     self.assertTrue(
         np.allclose(
             sml.matrix(m1).var(axis=0),
             m1.var(axis=0, ddof=1).reshape(1, dim)))
Beispiel #11
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 def test_mean2(self):
     self.assertTrue(np.allclose(sml.matrix(m1).mean(axis=0), m1.mean(axis=0).reshape(1, dim)))
Beispiel #12
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 def test_var1(self):
     print(
         str(np.array(sml.matrix(m1).var())) + " " +
         str(np.array(m1.var(ddof=1))))
     self.assertTrue(np.allclose(sml.matrix(m1).var(), m1.var(ddof=1)))
Beispiel #13
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 def test_vstack(self):
     self.assertTrue(
         np.allclose(
             sml.matrix(m1).vstack(sml.matrix(m1)), np.vstack((m1, m1))))
Beispiel #14
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 def test_mean3(self):
     self.assertTrue(
         np.allclose(
             sml.matrix(m1).mean(axis=1),
             m1.mean(axis=1).reshape(dim, 1)))
Beispiel #15
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 def test_div2(self):
     self.assertTrue(np.allclose(m1 / sml.matrix(m2), m1 / m2))
Beispiel #16
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 def test_var1(self):
     print(str(np.array(sml.matrix(m1).var())) + " " + str(np.array(m1.var(ddof=1))))
     self.assertTrue(np.allclose(sml.matrix(m1).var(), m1.var(ddof=1)))
Beispiel #17
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 def test_plus3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) + s, m1 + s))
Beispiel #18
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 def test_var2(self):
     self.assertTrue(np.allclose(sml.matrix(m1).var(axis=0), m1.var(axis=0, ddof=1).reshape(1, dim)))
Beispiel #19
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 def test_power3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) ** s, m1 ** s))
Beispiel #20
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 def test_var3(self):
     self.assertTrue(np.allclose(sml.matrix(m1).var(axis=1), m1.var(axis=1, ddof=1).reshape(dim, 1)))
Beispiel #21
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 def test_div4(self):
     self.assertTrue(np.allclose(s / sml.matrix(m2), s / m2))
Beispiel #22
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 def test_moment4(self):
     self.assertTrue(np.allclose(sml.matrix(m1).moment(moment=4, axis=None), moment(m1, moment=4, axis=None)))
Beispiel #23
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 def test_abs(self):
     self.assertTrue(np.allclose(sml.matrix(m1).abs(), np.abs(m1)))
Beispiel #24
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------

import systemml as sml
import numpy as np

from pyspark import SparkContext
sc = SparkContext()

m1 = sml.matrix(np.ones((3, 3)) + 2)
m2 = sml.matrix(np.ones((3, 3)) + 3)
m2 = m1 * (m2 + m1)
m4 = 1.0 - m2
m4.sum(axis=1).toNumPy()
Beispiel #25
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 def test_div1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) / m2, m1 / m2))
Beispiel #26
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 def test_div3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) / s, m1 / s))
Beispiel #27
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 def test_mul2(self):
     self.assertTrue(np.allclose(m1 * sml.matrix(m2), m1 * m2))
Beispiel #28
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 def test_power3(self):
     self.assertTrue(np.allclose(sml.matrix(m1)**s, m1**s))
Beispiel #29
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 def test_minus3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) - s, m1 - s))
Beispiel #30
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 def test_plus4(self):
     self.assertTrue(np.allclose(s + sml.matrix(m2), s + m2))
Beispiel #31
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 def test_mul2(self):
     self.assertTrue(np.allclose(m1 * sml.matrix(m2), m1 * m2))
Beispiel #32
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 def test_minus4(self):
     self.assertTrue(np.allclose(s - sml.matrix(m2), s - m2))
Beispiel #33
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 def test_power2(self):
     self.assertTrue(np.allclose(m1**sml.matrix(m2), m1**m2))
Beispiel #34
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 def test_mul4(self):
     self.assertTrue(np.allclose(s * sml.matrix(m2), s * m2))
Beispiel #35
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 def test_minus3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) - s, m1 - s))
Beispiel #36
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 def test_div4(self):
     self.assertTrue(np.allclose(s / sml.matrix(m2), s / m2))
Beispiel #37
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 def test_div3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) / s, m1 / s))
Beispiel #38
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 def test_power4(self):
     self.assertTrue(np.allclose(s**sml.matrix(m2), s**m2))
Beispiel #39
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 def test_plus4(self):
     self.assertTrue(np.allclose(s + sml.matrix(m2), s + m2))
Beispiel #40
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 def test_le(self):
     self.assertTrue(np.allclose(
         sml.matrix(m1) <= sml.matrix(m2), m1 <= m2))
Beispiel #41
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 def test_mul4(self):
     self.assertTrue(np.allclose(s * sml.matrix(m2), s * m2))
Beispiel #42
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 def test_ge(self):
     self.assertTrue(np.allclose(
         sml.matrix(m1) >= sml.matrix(m2), m1 >= m2))
Beispiel #43
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 def test_power4(self):
     self.assertTrue(np.allclose(s ** sml.matrix(m2), s ** m2))
Beispiel #44
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 def test_abs(self):
     self.assertTrue(np.allclose(sml.matrix(m1).abs(), np.abs(m1)))
Beispiel #45
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 def test_ge(self):
     self.assertTrue(np.allclose(sml.matrix(m1) >= sml.matrix(m2), m1 >= m2))
Beispiel #46
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 def test_plus1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) + m2, m1 + m2))
Beispiel #47
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 def test_plus1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) + m2, m1 + m2))
Beispiel #48
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 def test_minus1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) - m2, m1 - m2))
Beispiel #49
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 def test_mul1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) * m2, m1 * m2))
Beispiel #50
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 def test_mul1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) * m2, m1 * m2))
Beispiel #51
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 def test_power1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) ** m2, m1 ** m2))
Beispiel #52
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 def test_div1(self):
     self.assertTrue(np.allclose(sml.matrix(m1) / m2, m1 / m2))
Beispiel #53
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 def test_minus2(self):
     self.assertTrue(np.allclose(m1 - sml.matrix(m2), m1 - m2))
Beispiel #54
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 def test_power1(self):
     self.assertTrue(np.allclose(sml.matrix(m1)**m2, m1**m2))
Beispiel #55
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 def test_div2(self):
     self.assertTrue(np.allclose(m1 / sml.matrix(m2), m1 / m2))
Beispiel #56
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 def test_plus2(self):
     self.assertTrue(np.allclose(m1 + sml.matrix(m2), m1 + m2))
Beispiel #57
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 def test_plus3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) + s, m1 + s))
Beispiel #58
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 def test_minus2(self):
     self.assertTrue(np.allclose(m1 - sml.matrix(m2), m1 - m2))
Beispiel #59
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 def test_mul3(self):
     self.assertTrue(np.allclose(sml.matrix(m1) * s, m1 * s))
Beispiel #60
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 def test_mean1(self):
     self.assertTrue(np.allclose(sml.matrix(m1).mean(), m1.mean()))