Test Result : LogisticRegressionSuite

0 failures (±0) , 1 skipped (±0)
60 tests (±0)
Took 7 min 26 sec.

All Tests

Test nameDurationStatus
MultiClassSummarizer3 msPassed
MultiClassSummarizer with weighted samples1 msPassed
binary logistic regression with all labels the same1.4 secPassed
binary logistic regression with intercept with ElasticNet regularization30 secPassed
binary logistic regression with intercept with L1 regularization8.7 secPassed
binary logistic regression with intercept with L2 regularization4 secPassed
binary logistic regression with intercept with L2 regularization with bound2.9 secPassed
binary logistic regression with intercept with strong L1 regularization1.6 secPassed
binary logistic regression with intercept without regularization5.7 secPassed
binary logistic regression with intercept without regularization with bound14 secPassed
binary logistic regression without intercept with ElasticNet regularization14 secPassed
binary logistic regression without intercept with L1 regularization6.4 secPassed
binary logistic regression without intercept with L2 regularization2.6 secPassed
binary logistic regression without intercept with L2 regularization with bound2.1 secPassed
binary logistic regression without intercept without regularization4.8 secPassed
binary logistic regression without intercept without regularization with bound2.7 secPassed
binary logistic regression: Predictor, Classifier methods7.1 secPassed
check summary types for binary and multiclass1.5 secPassed
coefficients and intercept methods0.69 secPassed
compressed coefficients3.2 secPassed
compressed storage for constant label0.39 secPassed
empty probabilityCol or predictionCol3.1 secPassed
evaluate on test set3.9 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 off2.4 secPassed
logistic regression with sample weights23 secPassed
logistic regression with setters3.2 secPassed
logistic regression: default params7.1 secPassed
logistic regression: illegal params7.4 secPassed
multiclass logistic regression with all labels the same2 secPassed
multinomial logistic regression with intercept with L1 regularization47 secPassed
multinomial logistic regression with intercept with L2 regularization11 secPassed
multinomial logistic regression with intercept with L2 regularization with bound6.3 secPassed
multinomial logistic regression with intercept with elasticnet regularization46 secPassed
multinomial logistic regression with intercept with strong L1 regularization2 secPassed
multinomial logistic regression with intercept without regularization11 secPassed
multinomial logistic regression with intercept without regularization with bound37 secPassed
multinomial logistic regression with zero variance (SPARK-21681)1.9 secPassed
multinomial logistic regression without intercept with L1 regularization25 secPassed
multinomial logistic regression without intercept with L2 regularization5.7 secPassed
multinomial logistic regression without intercept with L2 regularization with bound2.7 secPassed
multinomial logistic regression without intercept with elasticnet regularization17 secPassed
multinomial logistic regression without intercept without regularization5.7 secPassed
multinomial logistic regression without intercept without regularization with bound7.7 secPassed
multinomial logistic regression: Predictor, Classifier methods11 secPassed
numClasses specified in metadata/inferred0.6 secPassed
overflow prediction for multiclass0.65 secPassed
params0.22 secPassed
prediction on single instance3.8 secPassed
read/write5 secPassed
set family3.4 secPassed
set initial model5.7 secPassed
setThreshold, getThreshold18 msPassed
should support all NumericType labels and weights, and not support other types2.4 secPassed
sparse coefficients in LogisticAggregator17 msPassed
statistics on training data1.3 secPassed
string params should be case-insensitive2.3 secPassed
thresholds prediction10 secPassed
toString0 msPassed