| /external/testng/src/test/java/test/regression/ |
| H A D | BeforeTestFailingTest.java | 1 package test.regression;
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| H A D | MyTestngTest.java | 1 package test.regression;
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| H A D | MyTestngTest2.java | 1 package test.regression;
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| /external/testng/src/test/java/test/regression/groupsordering/ |
| H A D | A.java | 1 package test.regression.groupsordering;
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| H A D | B.java | 1 package test.regression.groupsordering;
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| H A D | Base.java | 1 package test.regression.groupsordering;
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/ |
| H A D | MultipleLinearRegression.java | 17 package org.apache.commons.math.stat.regression;
20 * The multiple linear regression can be represented in matrix-notation.
25 * <b>regressors</b>, b is <code>k-vector</code> of <b>regression parameters</b> and <code>u</code> is an <code>n-vector</code>
36 * Estimates the regression parameters b.
43 * Estimates the variance of the regression parameters, ie Var(b).
64 * Returns the standard errors of the regression parameters.
66 * @return standard errors of estimated regression parameters
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| H A D | GLSMultipleLinearRegression.java | 17 package org.apache.commons.math.stat.regression;
25 * The GLS implementation of the multiple linear regression.
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| H A D | OLSMultipleLinearRegression.java | 17 package org.apache.commons.math.stat.regression;
30 * multiple linear regression model.</p>
32 * <p>The regression coefficients, <code>b</code>, satisfy the normal equations:
67 * compatible for the regression
175 * <p>If the regression is estimated without an intercept term, what is returned is <pre>
205 * Calculates the regression coefficients using OLS.
215 * <p>Calculates the variance-covariance matrix of the regression parameters.
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| H A D | AbstractMultipleLinearRegression.java | 17 package org.apache.commons.math.stat.regression;
42 /** Whether or not the regression model includes an intercept. True means no intercept. */
66 * <code>nobs = 3</code> and <code>nvars = 2</code> creates a regression dataset with two
195 * sufficient data to estimate regression coefficients for each of the
300 * Estimates the standard error of the regression.
302 * @return regression standard error
310 * Calculates the beta of multiple linear regression in matrix notation.
317 * Calculates the beta variance of multiple linear regression in matrix
352 * Calculates the residuals of multiple linear regression in matrix
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| H A D | SimpleRegression.java | 18 package org.apache.commons.math.stat.regression;
29 * Estimates an ordinary least squares regression model
46 * different x coordinates are requred to estimate a bivariate regression
125 * Adds the observation (x,y) to the regression data set.
161 * Removes the observation (x,y) from the regression data set.
164 * SimpleRegression instances in streaming mode where the regression
220 * streaming mode where the regression is applied to a sliding "window" of
278 * Returns the intercept of the estimated regression line.
291 * @return the intercept of the regression line
298 * Returns the slope of the estimated regression lin
[all...] |
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| H A D | test.py | 27 import tensorflow.examples.get_started.regression.imports85 as imports85 namespace
34 import tensorflow.examples.get_started.regression.dnn_regression as dnn_regression namespace
35 import tensorflow.examples.get_started.regression.linear_regression as linear_regression namespace
36 import tensorflow.examples.get_started.regression.linear_regression_categorical as linear_regression_categorical namespace
37 import tensorflow.examples.get_started.regression.custom_regression as custom_regression namespace
67 """Test the regression examples in this directory."""
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| /external/skia/tools/calmbench/ |
| H A D | ab.py | 14 # we report that as a regression.
249 def regression(bench): function
252 if (a == 0): # bad bench, just return no regression
304 suspects.sort(key = regression)
307 r = regression(suspect)
318 r = regression(bench) if bench in suspects else 1.0
348 "%s, %s, %f, " % (bench, bench in suspects, regression(bench)) +
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| /external/skqp/tools/calmbench/ |
| H A D | ab.py | 14 # we report that as a regression.
249 def regression(bench): function
252 if (a == 0): # bad bench, just return no regression
304 suspects.sort(key = regression)
307 r = regression(suspect)
318 r = regression(bench) if bench in suspects else 1.0
348 "%s, %s, %f, " % (bench, bench in suspects, regression(bench)) +
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| /external/opencv/ml/include/ |
| H A D | ml.h | 310 bool regression; member in class:CvKNearest
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| /external/conscrypt/benchmark-android/ |
| H A D | vogar.jar | META-INF/ META-INF/MANIFEST.MF vogar/ vogar/TestProperties.class TestProperties.java package vogar ... |