Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
59 tests (-1)
Took 7 min 34 sec.

All Tests

Test nameDurationStatus
LogisticRegression on blocks37 secPassed
binary logistic regression with all labels the same1.7 secPassed
binary logistic regression with intercept with ElasticNet regularization27 secPassed
binary logistic regression with intercept with L1 regularization6.7 secPassed
binary logistic regression with intercept with L2 regularization2.9 secPassed
binary logistic regression with intercept with L2 regularization with bound2.3 secPassed
binary logistic regression with intercept with strong L1 regularization1.1 secPassed
binary logistic regression with intercept without regularization4.2 secPassed
binary logistic regression with intercept without regularization with bound8.8 secPassed
binary logistic regression without intercept with ElasticNet regularization13 secPassed
binary logistic regression without intercept with L1 regularization4.8 secPassed
binary logistic regression without intercept with L2 regularization1.8 secPassed
binary logistic regression without intercept with L2 regularization with bound2 secPassed
binary logistic regression without intercept without regularization5.6 secPassed
binary logistic regression without intercept without regularization with bound2.2 secPassed
binary logistic regression: Predictor, Classifier methods4.1 secPassed
check summary types for binary and multiclass1.4 secPassed
coefficients and intercept methods0.44 secPassed
compressed coefficients4.7 secPassed
compressed storage for constant label0.65 secPassed
empty probabilityCol or predictionCol2.9 secPassed
evaluate on test set3.4 secPassed
evaluate with labels that are not doubles1.6 secPassed
export test data into CSV format-1 msSkipped
logistic regression doesn't fit intercept when fitIntercept is off2.1 secPassed
logistic regression with sample weights21 secPassed
logistic regression with setters2.4 secPassed
logistic regression: default params7 secPassed
logistic regression: illegal params5.6 secPassed
multiclass logistic regression with all labels the same2.9 secPassed
multinomial logistic regression with intercept with L1 regularization42 secPassed
multinomial logistic regression with intercept with L2 regularization15 secPassed
multinomial logistic regression with intercept with L2 regularization with bound5.9 secPassed
multinomial logistic regression with intercept with elasticnet regularization54 secPassed
multinomial logistic regression with intercept with strong L1 regularization1.5 secPassed
multinomial logistic regression with intercept without regularization9.1 secPassed
multinomial logistic regression with intercept without regularization with bound35 secPassed
multinomial logistic regression with zero variance (SPARK-21681)1.4 secPassed
multinomial logistic regression without intercept with L1 regularization21 secPassed
multinomial logistic regression without intercept with L2 regularization4.9 secPassed
multinomial logistic regression without intercept with L2 regularization with bound3.2 secPassed
multinomial logistic regression without intercept with elasticnet regularization15 secPassed
multinomial logistic regression without intercept without regularization5.6 secPassed
multinomial logistic regression without intercept without regularization with bound8.9 secPassed
multinomial logistic regression: Predictor, Classifier methods8.2 secPassed
numClasses specified in metadata/inferred1.6 secPassed
overflow prediction for multiclass0.39 secPassed
params0.16 secPassed
prediction on single instance2.8 secPassed
read/write6.1 secPassed
set family3.3 secPassed
set initial model6.2 secPassed
setThreshold, getThreshold21 msPassed
should support all NumericType labels and weights, and not support other types2 secPassed
sparse coefficients in LogisticAggregator14 msPassed
statistics on training data1.2 secPassed
string params should be case-insensitive2.8 secPassed
thresholds prediction8.6 secPassed
toString1 msPassed