Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
59 tests (-1)
Took 5 min 3 sec.

All Tests

Test nameDurationStatus
LogisticRegression on blocks30 secPassed
binary logistic regression with all labels the same0.94 secPassed
binary logistic regression with intercept with ElasticNet regularization18 secPassed
binary logistic regression with intercept with L1 regularization5.6 secPassed
binary logistic regression with intercept with L2 regularization2.5 secPassed
binary logistic regression with intercept with L2 regularization with bound2 secPassed
binary logistic regression with intercept with strong L1 regularization0.75 secPassed
binary logistic regression with intercept without regularization2.8 secPassed
binary logistic regression with intercept without regularization with bound8.3 secPassed
binary logistic regression without intercept with ElasticNet regularization7.3 secPassed
binary logistic regression without intercept with L1 regularization4.3 secPassed
binary logistic regression without intercept with L2 regularization1.8 secPassed
binary logistic regression without intercept with L2 regularization with bound1.4 secPassed
binary logistic regression without intercept without regularization2.9 secPassed
binary logistic regression without intercept without regularization with bound1.7 secPassed
binary logistic regression: Predictor, Classifier methods3.7 secPassed
check summary types for binary and multiclass1.4 secPassed
coefficients and intercept methods0.4 secPassed
compressed coefficients2.7 secPassed
compressed storage for constant label0.39 secPassed
empty probabilityCol or predictionCol2.1 secPassed
evaluate on test set2.1 secPassed
evaluate with labels that are not doubles1 secPassed
export test data into CSV format-1 msSkipped
logistic regression doesn't fit intercept when fitIntercept is off1.4 secPassed
logistic regression with sample weights15 secPassed
logistic regression with setters2.2 secPassed
logistic regression: default params3.6 secPassed
logistic regression: illegal params4.4 secPassed
multiclass logistic regression with all labels the same1.3 secPassed
multinomial logistic regression with intercept with L1 regularization28 secPassed
multinomial logistic regression with intercept with L2 regularization6.4 secPassed
multinomial logistic regression with intercept with L2 regularization with bound4.2 secPassed
multinomial logistic regression with intercept with elasticnet regularization30 secPassed
multinomial logistic regression with intercept with strong L1 regularization1.1 secPassed
multinomial logistic regression with intercept without regularization6 secPassed
multinomial logistic regression with intercept without regularization with bound20 secPassed
multinomial logistic regression with zero variance (SPARK-21681)0.99 secPassed
multinomial logistic regression without intercept with L1 regularization14 secPassed
multinomial logistic regression without intercept with L2 regularization3.5 secPassed
multinomial logistic regression without intercept with L2 regularization with bound1.9 secPassed
multinomial logistic regression without intercept with elasticnet regularization11 secPassed
multinomial logistic regression without intercept without regularization4.1 secPassed
multinomial logistic regression without intercept without regularization with bound4.3 secPassed
multinomial logistic regression: Predictor, Classifier methods7.3 secPassed
numClasses specified in metadata/inferred0.53 secPassed
overflow prediction for multiclass0.28 secPassed
params0.12 secPassed
prediction on single instance2.3 secPassed
read/write4.6 secPassed
set family2 secPassed
set initial model3.2 secPassed
setThreshold, getThreshold17 msPassed
should support all NumericType labels and weights, and not support other types1.8 secPassed
sparse coefficients in LogisticAggregator13 msPassed
statistics on training data0.77 secPassed
string params should be case-insensitive2 secPassed
thresholds prediction6.8 secPassed
toString1 msPassed