Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
59 tests (±0)
Took 5 min 36 sec.

All Tests

Test nameDurationStatus
LogisticRegression on blocks34 secPassed
binary logistic regression with all labels the same1.1 secPassed
binary logistic regression with intercept with ElasticNet regularization22 secPassed
binary logistic regression with intercept with L1 regularization5.5 secPassed
binary logistic regression with intercept with L2 regularization2.6 secPassed
binary logistic regression with intercept with L2 regularization with bound2.1 secPassed
binary logistic regression with intercept with strong L1 regularization0.92 secPassed
binary logistic regression with intercept without regularization3.3 secPassed
binary logistic regression with intercept without regularization with bound9.1 secPassed
binary logistic regression without intercept with ElasticNet regularization8.2 secPassed
binary logistic regression without intercept with L1 regularization4.5 secPassed
binary logistic regression without intercept with L2 regularization1.8 secPassed
binary logistic regression without intercept with L2 regularization with bound1.8 secPassed
binary logistic regression without intercept without regularization3.1 secPassed
binary logistic regression without intercept without regularization with bound1.6 secPassed
binary logistic regression: Predictor, Classifier methods4.2 secPassed
check summary types for binary and multiclass1.2 secPassed
coefficients and intercept methods0.48 secPassed
compressed coefficients3.4 secPassed
compressed storage for constant label0.41 secPassed
empty probabilityCol or predictionCol2.3 secPassed
evaluate on test set2.4 secPassed
evaluate with labels that are not doubles1.2 secPassed
export test data into CSV format-1 msSkipped
logistic regression doesn't fit intercept when fitIntercept is off1.3 secPassed
logistic regression with sample weights15 secPassed
logistic regression with setters2.1 secPassed
logistic regression: default params4.1 secPassed
logistic regression: illegal params4.2 secPassed
multiclass logistic regression with all labels the same2 secPassed
multinomial logistic regression with intercept with L1 regularization29 secPassed
multinomial logistic regression with intercept with L2 regularization7 secPassed
multinomial logistic regression with intercept with L2 regularization with bound4.6 secPassed
multinomial logistic regression with intercept with elasticnet regularization32 secPassed
multinomial logistic regression with intercept with strong L1 regularization1.2 secPassed
multinomial logistic regression with intercept without regularization6.1 secPassed
multinomial logistic regression with intercept without regularization with bound22 secPassed
multinomial logistic regression with zero variance (SPARK-21681)1 secPassed
multinomial logistic regression without intercept with L1 regularization14 secPassed
multinomial logistic regression without intercept with L2 regularization4 secPassed
multinomial logistic regression without intercept with L2 regularization with bound2 secPassed
multinomial logistic regression without intercept with elasticnet regularization12 secPassed
multinomial logistic regression without intercept without regularization4.7 secPassed
multinomial logistic regression without intercept without regularization with bound7.6 secPassed
multinomial logistic regression: Predictor, Classifier methods8.3 secPassed
numClasses specified in metadata/inferred0.6 secPassed
overflow prediction for multiclass0.38 secPassed
params0.14 secPassed
prediction on single instance3 secPassed
read/write5 secPassed
set family2.4 secPassed
set initial model4.9 secPassed
setThreshold, getThreshold33 msPassed
should support all NumericType labels and weights, and not support other types1.9 secPassed
sparse coefficients in LogisticAggregator13 msPassed
statistics on training data0.8 secPassed
string params should be case-insensitive2.1 secPassed
thresholds prediction8.1 secPassed
toString1 msPassed