Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
60 tests (±0)
Took 4 min 21 sec.

All Tests

Test nameDurationStatus
MultiClassSummarizer3 msPassed
MultiClassSummarizer with weighted samples1 msPassed
binary logistic regression with all labels the same0.74 secPassed
binary logistic regression with intercept with ElasticNet regularization16 secPassed
binary logistic regression with intercept with L1 regularization4.7 secPassed
binary logistic regression with intercept with L2 regularization2.2 secPassed
binary logistic regression with intercept with L2 regularization with bound2.2 secPassed
binary logistic regression with intercept with strong L1 regularization0.85 secPassed
binary logistic regression with intercept without regularization2.6 secPassed
binary logistic regression with intercept without regularization with bound7 secPassed
binary logistic regression without intercept with ElasticNet regularization7.5 secPassed
binary logistic regression without intercept with L1 regularization4 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 regularization2.4 secPassed
binary logistic regression without intercept without regularization with bound1.5 secPassed
binary logistic regression: Predictor, Classifier methods2.5 secPassed
check summary types for binary and multiclass0.8 secPassed
coefficients and intercept methods0.39 secPassed
compressed coefficients2.4 secPassed
compressed storage for constant label0.33 secPassed
empty probabilityCol or predictionCol1.8 secPassed
evaluate on test set2 secPassed
evaluate with labels that are not doubles0.98 secPassed
export test data into CSV format-1 msSkipped
logistic regression doesn't fit intercept when fitIntercept is off1.2 secPassed
logistic regression with sample weights12 secPassed
logistic regression with setters1.9 secPassed
logistic regression: default params3 secPassed
logistic regression: illegal params4.1 secPassed
multiclass logistic regression with all labels the same1 secPassed
multinomial logistic regression with intercept with L1 regularization30 secPassed
multinomial logistic regression with intercept with L2 regularization8.2 secPassed
multinomial logistic regression with intercept with L2 regularization with bound4.9 secPassed
multinomial logistic regression with intercept with elasticnet regularization31 secPassed
multinomial logistic regression with intercept with strong L1 regularization1.1 secPassed
multinomial logistic regression with intercept without regularization5.4 secPassed
multinomial logistic regression with intercept without regularization with bound18 secPassed
multinomial logistic regression with zero variance (SPARK-21681)0.89 secPassed
multinomial logistic regression without intercept with L1 regularization17 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 regularization10 secPassed
multinomial logistic regression without intercept without regularization3.5 secPassed
multinomial logistic regression without intercept without regularization with bound3.6 secPassed
multinomial logistic regression: Predictor, Classifier methods6.1 secPassed
numClasses specified in metadata/inferred0.49 secPassed
overflow prediction for multiclass0.22 secPassed
params0.62 secPassed
prediction on single instance1.8 secPassed
read/write3.9 secPassed
set family1.9 secPassed
set initial model2.9 secPassed
setThreshold, getThreshold8 msPassed
should support all NumericType labels and weights, and not support other types1.5 secPassed
sparse coefficients in LogisticAggregator11 msPassed
statistics on training data0.67 secPassed
string params should be case-insensitive1.6 secPassed
thresholds prediction5.9 secPassed
toString0 msPassed