LogisticRegression on blocks | 39 sec | Passed |

SPARK-34448: binary logistic regression with intercept, with features with small var | 1.8 sec | Passed |

SPARK-34860: multinomial logistic regression with intercept, with small var | 13 sec | Passed |

binary logistic regression with all labels the same | 0.59 sec | Passed |

binary logistic regression with intercept with ElasticNet regularization | 1.1 sec | Passed |

binary logistic regression with intercept with L1 regularization | 1.2 sec | Passed |

binary logistic regression with intercept with L2 regularization | 1.3 sec | Passed |

binary logistic regression with intercept with L2 regularization with bound | 1.8 sec | Passed |

binary logistic regression with intercept with strong L1 regularization | 0.56 sec | Passed |

binary logistic regression with intercept without regularization | 0.95 sec | Passed |

binary logistic regression with intercept without regularization with bound | 6.2 sec | Passed |

binary logistic regression without intercept with ElasticNet regularization | 8.6 sec | Passed |

binary logistic regression without intercept with L1 regularization | 5 sec | Passed |

binary logistic regression without intercept with L2 regularization | 1.5 sec | Passed |

binary logistic regression without intercept with L2 regularization with bound | 1.3 sec | Passed |

binary logistic regression without intercept without regularization | 3.2 sec | Passed |

binary logistic regression without intercept without regularization with bound | 1.7 sec | Passed |

binary logistic regression: Predictor, Classifier methods | 2.4 sec | Passed |

check summary types for binary and multiclass | 1.6 sec | Passed |

coefficients and intercept methods | 0.28 sec | Passed |

compressed coefficients | 1.9 sec | Passed |

compressed storage for constant label | 0.21 sec | Passed |

empty probabilityCol or predictionCol | 0.76 sec | Passed |

evaluate on test set | 1.4 sec | Passed |

evaluate with labels that are not doubles | 0.66 sec | Passed |

export test data into CSV format | 0 ms | Skipped |

logistic regression doesn't fit intercept when fitIntercept is off | 1.1 sec | Passed |

logistic regression with sample weights | 6.1 sec | Passed |

logistic regression with setters | 1.3 sec | Passed |

logistic regression: default params | 0.44 sec | Passed |

logistic regression: illegal params | 1 sec | Passed |

multiclass logistic regression with all labels the same | 0.98 sec | Passed |

multinomial logistic regression with intercept with L1 regularization | 2 sec | Passed |

multinomial logistic regression with intercept with L2 regularization | 1.3 sec | Passed |

multinomial logistic regression with intercept with L2 regularization with bound | 5.2 sec | Passed |

multinomial logistic regression with intercept with elasticnet regularization | 1.6 sec | Passed |

multinomial logistic regression with intercept with strong L1 regularization | 2 sec | Passed |

multinomial logistic regression with intercept without regularization | 1.2 sec | Passed |

multinomial logistic regression with intercept without regularization with bound | 18 sec | Passed |

multinomial logistic regression with zero variance (SPARK-21681) | 0.34 sec | Passed |

multinomial logistic regression without intercept with L1 regularization | 16 sec | Passed |

multinomial logistic regression without intercept with L2 regularization | 4.5 sec | Passed |

multinomial logistic regression without intercept with L2 regularization with bound | 2.2 sec | Passed |

multinomial logistic regression without intercept with elasticnet regularization | 10 sec | Passed |

multinomial logistic regression without intercept without regularization | 4.7 sec | Passed |

multinomial logistic regression without intercept without regularization with bound | 5.2 sec | Passed |

multinomial logistic regression: Predictor, Classifier methods | 4.4 sec | Passed |

numClasses specified in metadata/inferred | 0.32 sec | Passed |

overflow prediction for multiclass | 0.25 sec | Passed |

params | 1 ms | Passed |

prediction on single instance | 0.99 sec | Passed |

read/write | 2.4 sec | Passed |

set family | 1.4 sec | Passed |

set initial model | 2.3 sec | Passed |

setThreshold, getThreshold | 11 ms | Passed |

should support all NumericType labels and weights, and not support other types | 0.98 sec | Passed |

statistics on training data | 0.63 sec | Passed |

string params should be case-insensitive | 0.93 sec | Passed |

thresholds prediction | 2.8 sec | Passed |

toString | 1 ms | Passed |