| /external/noto-fonts/scripts/ |
| D | subset_noto_cjk.py | 35 0x1F18E, # NEGATIVE SQUARED AB 36 0x1F191, # SQUARED CL 37 0x1F192, # SQUARED COOL 38 0x1F193, # SQUARED FREE 39 0x1F194, # SQUARED ID 40 0x1F195, # SQUARED NEW 41 0x1F196, # SQUARED NG 42 0x1F197, # SQUARED OK 43 0x1F198, # SQUARED SOS 44 0x1F199, # SQUARED UP WITH EXCLAMATION MARK [all …]
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| D | subset_noto_sans_symbols.py | 76 0x1F19B, # SQUARED THREE D 77 0x1F19C, # SQUARED SECOND SCREEN 78 0x1F19D, # SQUARED TWO K;So;0;L;;;;;N;;;;; 79 0x1F19E, # SQUARED FOUR K;So;0;L;;;;;N;;;;; 80 0x1F19F, # SQUARED EIGHT K;So;0;L;;;;;N;;;;; 81 0x1F1A0, # SQUARED FIVE POINT ONE;So;0;L;;;;;N;;;;; 82 0x1F1A1, # SQUARED SEVEN POINT ONE;So;0;L;;;;;N;;;;; 83 0x1F1A2, # SQUARED TWENTY-TWO POINT TWO;So;0;L;;;;;N;;;;; 84 0x1F1A3, # SQUARED SIXTY P;So;0;L;;;;;N;;;;; 85 0x1F1A4, # SQUARED ONE HUNDRED TWENTY P;So;0;L;;;;;N;;;;; [all …]
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| /external/apache-commons-math/src/main/java/org/apache/commons/math3/stat/regression/ |
| D | RegressionResults.java | 32 /** INDEX of Sum of Squared Errors */ 36 /** INDEX of R-Squared of regression */ 38 /** INDEX of Mean Squared Error */ 40 /** INDEX of Adjusted R Squared */ 86 * @param sumysq the sum of the squared independent variable 87 * @param sse sum of squared errors 277 * <p>Returns the sum of squared deviations of the y values about their mean.</p> 284 * @return sum of squared deviations of y values 291 * <p>Returns the sum of squared deviations of the predicted y values about 304 * @return sum of squared deviations of predicted y values [all …]
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| D | OLSMultipleLinearRegression.java | 150 * <p>Returns the sum of squared deviations of Y from its mean.</p> 153 * mean of Y - i.e., what is returned is the sum of the squared Y values.</p> 156 * the {@link #calculateRSquared() R-squared} computation.</p> 172 * Returns the sum of squared residuals. 186 * Returns the R-Squared statistic, defined by the formula <pre> 189 * where SSR is the {@link #calculateResidualSumOfSquares() sum of squared residuals} 204 * <p>Returns the adjusted R-squared statistic, defined by the formula <pre> 207 * where SSR is the {@link #calculateResidualSumOfSquares() sum of squared residuals}, 217 * @return adjusted R-Squared statistic
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| D | SimpleRegression.java | 71 /** total variation in x (sum of squared deviations from xbar) */ 77 /** total variation in y (sum of squared deviations from ybar) */ 443 * sum of squared errors</a> (SSE) associated with the regression 450 * where <code>SYY</code> is the sum of the squared deviations of the y 468 * @return sum of squared errors associated with the regression model 475 * Returns the sum of squared deviations of the y values about their mean. 482 * @return sum of squared deviations of y values 492 * Returns the sum of squared deviations of the x values about their mean. 496 * @return sum of squared deviations of x values 515 * Returns the sum of squared deviations of the predicted y values about [all …]
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| /external/apache-commons-math/src/main/java/org/apache/commons/math3/distribution/ |
| D | ChiSquaredDistribution.java | 23 * Implementation of the chi-squared distribution. 25 * @see <a href="http://en.wikipedia.org/wiki/Chi-squared_distribution">Chi-squared distribution 27 * @see <a href="http://mathworld.wolfram.com/Chi-SquaredDistribution.html">Chi-squared Distribution 48 * Create a Chi-Squared distribution with the given degrees of freedom. 57 * Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative 76 * Create a Chi-Squared distribution with the given degrees of freedom. 87 * Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative
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| /external/snakeyaml/src/test/resources/issues/ |
| D | emoji.yaml | 67 White on black squared Latin letters: 5 68 Squared Latin letter sequences: 10 71 Squared katakana: 2 72 Squared ideographs and kana from ARIB STD B24: 2 73 Squared ideographs: 9 333 - ❎ # U+274E NEGATIVE SQUARED CROSS MARK 392 White on black squared Latin letters: 393 - ️ # U+1F170 NEGATIVE SQUARED LATIN CAPITAL LETTER A 394 - ️ # U+1F171 NEGATIVE SQUARED LATIN CAPITAL LETTER B 395 - ️ # U+1F17E NEGATIVE SQUARED LATIN CAPITAL LETTER O [all …]
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/ |
| D | OLSMultipleLinearRegression.java | 122 * <p>Returns the sum of squared deviations of Y from its mean.</p> 125 * mean of Y - i.e., what is returned is the sum of the squared Y values.</p> 128 * the {@link #calculateRSquared() R-squared} computation.</p> 143 * Returns the sum of squared residuals. 154 * Returns the R-Squared statistic, defined by the formula <pre> 157 * where SSR is the {@link #calculateResidualSumOfSquares() sum of squared residuals} 168 * <p>Returns the adjusted R-squared statistic, defined by the formula <pre> 171 * where SSR is the {@link #calculateResidualSumOfSquares() sum of squared residuals}, 179 * @return adjusted R-Squared statistic
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| D | SimpleRegression.java | 69 /** total variation in x (sum of squared deviations from xbar) */ 75 /** total variation in y (sum of squared deviations from ybar) */ 325 * sum of squared errors</a> (SSE) associated with the regression 332 * where <code>SYY</code> is the sum of the squared deviations of the y 350 * @return sum of squared errors associated with the regression model 357 * Returns the sum of squared deviations of the y values about their mean. 364 * @return sum of squared deviations of y values 374 * Returns the sum of squared deviations of the x values about their mean. 378 * @return sum of squared deviations of x values 397 * Returns the sum of squared deviations of the predicted y values about [all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | squared-loss.h | 25 // Closed form solution that decreases the dual squared loss. 42 // Dual of squared loss function. 46 // Dual of the squared loss function = b * (y + b/2), where b is the in ComputeDualLoss() 51 // Squared loss for linear regression.
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| /external/oboe/samples/RhythmGame/third_party/glm/gtc/ |
| D | functions.inl | 27 …tvec2<T, P> const Squared = ((Coord - ExpectedValue) * (Coord - ExpectedValue)) / (static_cast<T>(… local 28 return exp(-(Squared.x + Squared.y));
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| /external/libvpx/vpx_dsp/x86/ |
| D | deblock_sse2.asm | 333 pmaddwd xmm1, xmm2 ; squared of 7+-8 8+-7 9+-6 10+-5 344 pshufd xmm3, xmm1, 3 ; 0000 8--7 8--7 8--7 squared 345 pshufd xmm4, xmm2, 3 ; 0000 8--7 8--7 8--7 squared 350 pshufd xmm3, xmm1, 01011111b ; 0000 0000 9--6 9--6 squared 351 pshufd xmm4, xmm2, 01011111b ; 0000 0000 9--6 9--6 squared 356 pshufd xmm3, xmm1, 10111111b ; 0000 0000 8--7 8--7 squared 357 pshufd xmm4, xmm2, 10111111b ; 0000 0000 8--7 8--7 squared
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| /external/cldr/tools/cldr-code/src/main/resources/org/unicode/cldr/draft/ |
| D | Categories.txt | 7634 229E Sm Symbol Math Operator SQUARED PLUS 7635 229F Sm Symbol Math Operator SQUARED MINUS 7636 22A0 Sm Symbol Math Operator SQUARED TIMES 7637 22A1 Sm Symbol Math Operator SQUARED DOT OPERATOR 8633 26BF So Symbol SQUARED KEY 8663 26DD So Symbol Traffic sign SQUARED SALTIRE 8775 274E So Symbol Dingbat NEGATIVE SQUARED CROSS MARK 8903 27CE Sm Symbol Math Operator SQUARED LOGICAL AND 8904 27CF Sm Symbol Math Operator SQUARED LOGICAL OR 9405 29C4 Sm Symbol Math SQUARED RISING DIAGONAL SLASH [all …]
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/proto/google/cloud/automl/v1beta1/ |
| D | regression.proto | 28 // Output only. Root Mean Squared Error (RMSE). 38 // Output only. R squared. 41 // Output only. Root mean squared log error.
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| /external/googleapis/google/cloud/automl/v1beta1/ |
| D | regression.proto | 28 // Output only. Root Mean Squared Error (RMSE). 38 // Output only. R squared. 41 // Output only. Root mean squared log error.
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| /external/oboe/apps/OboeTester/app/src/main/java/com/mobileer/miditools/synth/ |
| D | SawOscillatorDPW.java | 45 float squared = phase * phase; in render() local 46 float diffed = squared - mZ2; in render() 48 mZ1 = squared; in render()
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| /external/google-cloud-java/java-automl/proto-google-cloud-automl-v1beta1/src/main/java/com/google/cloud/automl/v1beta1/ |
| D | RegressionProto.java | 39 * Output only. Root Mean Squared Error (RMSE). 79 * Output only. R squared. 92 * Output only. Root mean squared log error. 156 * Output only. Root Mean Squared Error (RMSE). 211 * Output only. R squared. 229 * Output only. Root mean squared log error. 704 * Output only. Root Mean Squared Error (RMSE). 719 * Output only. Root Mean Squared Error (RMSE). 738 * Output only. Root Mean Squared Error (RMSE). 866 * Output only. R squared. [all …]
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| /external/oboe/apps/OboeTester/app/src/main/cpp/synth/ |
| D | DifferentiatedParabola.h | 58 synth_float_t squared = phase * phase; in next() local 60 synth_float_t diffed = squared - mZ2; in next() 64 mZ1 = squared; in next()
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| /external/opencensus-java/api/src/main/java/io/opencensus/metrics/export/ |
| D | Distribution.java | 48 * @param sumOfSquaredDeviations the sum of squared deviations of the population values. 62 sumOfSquaredDeviations >= 0, "sum of squared deviations should be non-negative."); in create() 66 sumOfSquaredDeviations == 0, "sum of squared deviations should be 0 if count is 0."); in create() 93 * Returns the aggregated sum of squared deviations. 95 * <p>The sum of squared deviations from the mean of the values in the population. For values x_i 102 * @return the aggregated sum of squared deviations.
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| /external/opencensus-java/api/src/main/java/io/opencensus/stats/ |
| D | AggregationData.java | 253 * count, histogram, min, max and sum of squared deviations. 270 * @param sumOfSquaredDeviations sum of squared deviations. 295 * @param sumOfSquaredDeviations sum of squared deviations. 334 * @param sumOfSquaredDeviations sum of squared deviations. 358 * @param sumOfSquaredDeviations sum of squared deviations. 410 * Returns the aggregated sum of squared deviations. 412 * @return the aggregated sum of squared deviations.
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| /external/unicode/ |
| D | emoji-variation-sequences.txt | 324 274E FE0E ; text style; # (6.0) NEGATIVE SQUARED CROSS MARK 325 274E FE0F ; emoji style; # (6.0) NEGATIVE SQUARED CROSS MARK 378 1F170 FE0E ; text style; # (6.0) NEGATIVE SQUARED LATIN CAPITAL LETTER A 379 1F170 FE0F ; emoji style; # (6.0) NEGATIVE SQUARED LATIN CAPITAL LETTER A 380 1F171 FE0E ; text style; # (6.0) NEGATIVE SQUARED LATIN CAPITAL LETTER B 381 1F171 FE0F ; emoji style; # (6.0) NEGATIVE SQUARED LATIN CAPITAL LETTER B 382 1F17E FE0E ; text style; # (6.0) NEGATIVE SQUARED LATIN CAPITAL LETTER O 383 1F17E FE0F ; emoji style; # (6.0) NEGATIVE SQUARED LATIN CAPITAL LETTER O 384 1F17F FE0E ; text style; # (5.2) NEGATIVE SQUARED LATIN CAPITAL LETTER P 385 1F17F FE0F ; emoji style; # (5.2) NEGATIVE SQUARED LATIN CAPITAL LETTER P [all …]
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| D | DerivedAge.txt | 1021 26BD..26BF ; 5.2 # [3] SOCCER BALL..SQUARED KEY 1066 1F131 ; 5.2 # SQUARED LATIN CAPITAL LETTER B 1067 1F13D ; 5.2 # SQUARED LATIN CAPITAL LETTER N 1068 1F13F ; 5.2 # SQUARED LATIN CAPITAL LETTER P 1069 1F142 ; 5.2 # SQUARED LATIN CAPITAL LETTER S 1070 1F146 ; 5.2 # SQUARED LATIN CAPITAL LETTER W 1071 1F14A..1F14E ; 5.2 # [5] SQUARED HV..SQUARED PPV 1074 1F179 ; 5.2 # NEGATIVE SQUARED LATIN CAPITAL LETTER J 1075 1F17B..1F17C ; 5.2 # [2] NEGATIVE SQUARED LATIN CAPITAL LETTER L..NEGATIVE SQUARED LATIN CAPITAL… 1076 1F17F ; 5.2 # NEGATIVE SQUARED LATIN CAPITAL LETTER P [all …]
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
| D | ChiSquaredDistributionImpl.java | 48 * Create a Chi-Squared distribution with the given degrees of freedom. 56 * Create a Chi-Squared distribution with the given degrees of freedom. 72 * Create a Chi-Squared distribution with the given degrees of freedom and 196 // NOTE: chi squared is skewed to the left in getDomainUpperBound() 222 // NOTE: chi squared is skewed to the left in getInitialDomain()
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| /external/cldr/tools/cldr-code/src/main/resources/org/unicode/cldr/util/data/external/ |
| D | nistConversions.txt | 5 acceleration of free fall, standard (gn) meter per second squared (m/s2) 9.806 65 E+00 6 foot per second squared (ft/s2) meter per second squared (m/s2) 3.048 E-01 7 gal (Gal) meter per second squared (m/s2) 1.0 E-02 8 inch per second squared (in/s2) meter per second squared (m/s2) 2.54 E-02 326 kilogram-force second squared per meter (kgf · s2/m) kilogram (kg) 9.806 65 E+00 335 pound foot squared (lb · ft2) kilogram meter squared (kg · m2) 4.214 011 E-02 336 pound inch squared (lb · in2) kilogram meter squared (kg · m2) 2.926 397 E-04 417 darcy 14 meter squared (m2) 9.869 233 E-13 570 centistokes (cSt) meter squared per second (m2/s) 1.0 E-06 571 square foot per second (ft2/s) meter squared per second (m2/s) 9.290 304 E-02 [all …]
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_KMC2ChainInitialization.pbtxt | 7 Vector with squared distances to the closest previously sampled cluster center 25 Entries in distances are assumed to be squared distances of candidate points to
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