Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
60 tests (±0)
Took 3 min 25 sec.

All Tests

Test nameDurationStatus
LogisticRegression on blocks39 secPassed
SPARK-34448: binary logistic regression with intercept, with features with small var1.8 secPassed
SPARK-34860: multinomial logistic regression with intercept, with small var13 secPassed
binary logistic regression with all labels the same0.59 secPassed
binary logistic regression with intercept with ElasticNet regularization1.1 secPassed
binary logistic regression with intercept with L1 regularization1.2 secPassed
binary logistic regression with intercept with L2 regularization1.3 secPassed
binary logistic regression with intercept with L2 regularization with bound1.8 secPassed
binary logistic regression with intercept with strong L1 regularization0.56 secPassed
binary logistic regression with intercept without regularization0.95 secPassed
binary logistic regression with intercept without regularization with bound6.2 secPassed
binary logistic regression without intercept with ElasticNet regularization8.6 secPassed
binary logistic regression without intercept with L1 regularization5 secPassed
binary logistic regression without intercept with L2 regularization1.5 secPassed
binary logistic regression without intercept with L2 regularization with bound1.3 secPassed
binary logistic regression without intercept without regularization3.2 secPassed
binary logistic regression without intercept without regularization with bound1.7 secPassed
binary logistic regression: Predictor, Classifier methods2.4 secPassed
check summary types for binary and multiclass1.6 secPassed
coefficients and intercept methods0.28 secPassed
compressed coefficients1.9 secPassed
compressed storage for constant label0.21 secPassed
empty probabilityCol or predictionCol0.76 secPassed
evaluate on test set1.4 secPassed
evaluate with labels that are not doubles0.66 secPassed
export test data into CSV format0 msSkipped
logistic regression doesn't fit intercept when fitIntercept is off1.1 secPassed
logistic regression with sample weights6.1 secPassed
logistic regression with setters1.3 secPassed
logistic regression: default params0.44 secPassed
logistic regression: illegal params1 secPassed
multiclass logistic regression with all labels the same0.98 secPassed
multinomial logistic regression with intercept with L1 regularization2 secPassed
multinomial logistic regression with intercept with L2 regularization1.3 secPassed
multinomial logistic regression with intercept with L2 regularization with bound5.2 secPassed
multinomial logistic regression with intercept with elasticnet regularization1.6 secPassed
multinomial logistic regression with intercept with strong L1 regularization2 secPassed
multinomial logistic regression with intercept without regularization1.2 secPassed
multinomial logistic regression with intercept without regularization with bound18 secPassed
multinomial logistic regression with zero variance (SPARK-21681)0.34 secPassed
multinomial logistic regression without intercept with L1 regularization16 secPassed
multinomial logistic regression without intercept with L2 regularization4.5 secPassed
multinomial logistic regression without intercept with L2 regularization with bound2.2 secPassed
multinomial logistic regression without intercept with elasticnet regularization10 secPassed
multinomial logistic regression without intercept without regularization4.7 secPassed
multinomial logistic regression without intercept without regularization with bound5.2 secPassed
multinomial logistic regression: Predictor, Classifier methods4.4 secPassed
numClasses specified in metadata/inferred0.32 secPassed
overflow prediction for multiclass0.25 secPassed
params1 msPassed
prediction on single instance0.99 secPassed
read/write2.4 secPassed
set family1.4 secPassed
set initial model2.3 secPassed
setThreshold, getThreshold11 msPassed
should support all NumericType labels and weights, and not support other types0.98 secPassed
statistics on training data0.63 secPassed
string params should be case-insensitive0.93 secPassed
thresholds prediction2.8 secPassed
toString1 msPassed