Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
60 tests (±0)
Took 3 min 37 sec.

All Tests

Test nameDurationStatus
MultiClassSummarizer1 msPassed
MultiClassSummarizer with weighted samples0 msPassed
binary logistic regression with all labels the same0.5 secPassed
binary logistic regression with intercept with ElasticNet regularization14 secPassed
binary logistic regression with intercept with L1 regularization5.3 secPassed
binary logistic regression with intercept with L2 regularization2.1 secPassed
binary logistic regression with intercept with L2 regularization with bound1.7 secPassed
binary logistic regression with intercept with strong L1 regularization0.54 secPassed
binary logistic regression with intercept without regularization2.9 secPassed
binary logistic regression with intercept without regularization with bound6.9 secPassed
binary logistic regression without intercept with ElasticNet regularization5.7 secPassed
binary logistic regression without intercept with L1 regularization4.1 secPassed
binary logistic regression without intercept with L2 regularization1.3 secPassed
binary logistic regression without intercept with L2 regularization with bound1 secPassed
binary logistic regression without intercept without regularization2.6 secPassed
binary logistic regression without intercept without regularization with bound1.2 secPassed
binary logistic regression: Predictor, Classifier methods2.1 secPassed
check summary types for binary and multiclass0.52 secPassed
coefficients and intercept methods0.29 secPassed
compressed coefficients1.9 secPassed
compressed storage for constant label0.21 secPassed
empty probabilityCol or predictionCol0.75 secPassed
evaluate on test set1.3 secPassed
evaluate with labels that are not doubles0.63 secPassed
export test data into CSV format0 msSkipped
logistic regression doesn't fit intercept when fitIntercept is off0.56 secPassed
logistic regression with sample weights10 secPassed
logistic regression with setters0.73 secPassed
logistic regression: default params0.49 secPassed
logistic regression: illegal params1.3 secPassed
multiclass logistic regression with all labels the same0.64 secPassed
multinomial logistic regression with intercept with L1 regularization25 secPassed
multinomial logistic regression with intercept with L2 regularization7.6 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 regularization0.89 secPassed
multinomial logistic regression with intercept without regularization5 secPassed
multinomial logistic regression with intercept without regularization with bound17 secPassed
multinomial logistic regression with zero variance (SPARK-21681)0.64 secPassed
multinomial logistic regression without intercept with L1 regularization13 secPassed
multinomial logistic regression without intercept with L2 regularization3.6 secPassed
multinomial logistic regression without intercept with L2 regularization with bound1.6 secPassed
multinomial logistic regression without intercept with elasticnet regularization9.5 secPassed
multinomial logistic regression without intercept without regularization3.3 secPassed
multinomial logistic regression without intercept without regularization with bound3.5 secPassed
multinomial logistic regression: Predictor, Classifier methods3.4 secPassed
numClasses specified in metadata/inferred0.3 secPassed
overflow prediction for multiclass0.21 secPassed
params1 msPassed
prediction on single instance1.5 secPassed
read/write1.6 secPassed
set family1.6 secPassed
set initial model1.9 secPassed
setThreshold, getThreshold8 msPassed
should support all NumericType labels and weights, and not support other types0.97 secPassed
sparse coefficients in LogisticAggregator11 msPassed
statistics on training data0.47 secPassed
string params should be case-insensitive1.5 secPassed
thresholds prediction2.6 secPassed
toString1 msPassed