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Description
List of trainers per catalog
BinaryClassification.Trainers
| BinaryClassification Trainers | Category | Priority | Docs (1st pass) | Docs (2nd pass) | Samples (1st pass) | Samples (2nd pass) |
|---|---|---|---|---|---|---|
| AveragedPerceptron | Linear | 0 | Shahab #2517 | Done Shahab #3310 | Shahab #2517 | Artidoro #3311 |
| LogisticRegression | Linear | 0 | Wei-Sheng #3385 | Done Wei-Sheng #3385 | ZeeshanA #3099 | Artidoro #3311 |
| Stochastic GradientDescent | Linear | 0 | Shahab #2688 | @codemzs #3392 | Shahab #2688 | Artidoro #3311 |
| StochasticDual CoordinateAscent | Linear | 0 | Shahab #2771 | @codemzs #3395 | Shahab #2771 | Artidoro #3311 |
| SymbolicStochastic GradientDescent | Linear | 0 | Ivan | @codemzs #3396 | Artidoro #3311 | |
| LightGbm | Tree | 0 | Shahab #2886 | Done @codemzs #3397 | Shahab #2729 | Artidoro #3311 |
| FastTree | Tree | 0 | Shahab #2970 | Done @codemzs #3398 | Shahab #3035 | Artidoro #3311 |
| FastForest | Tree | 0 | Shahab #2970 | Done @codemzs #3399 | Shahab #3035 | Artidoro #3311 |
| Field Aware FactorizationMachine | FFM | 0 | Wei-Sheng #3374 | Done Wei-Sheng #3374 | #3312 Wei-Sheng | Wei-Sheng #3374 |
| Generalized AdditiveModels | GAM | 1 | Shahab #2970 | Done @codemzs #3425 | @codemzs | Artidoro #3311 |
| Linear Support VectorMachines | Linear | 2 | Yael | Done #3401 Yael | Artidoro #3311 | |
| Prior | Baseline | 2 | Aridoro #2510 | Done @codemzs #3426 | Artidoro #2510 | Artidoro #3311 |
MulticlassClassification.Trainers
| MulticlassClassification Trainers | Category | Priority | Docs (1st pass) | Docs (2nd pass) | Samples | Samples (2nd pass) |
|---|---|---|---|---|---|---|
| Lbfgs MaximumEntropy | Linear | 0 | Wei-Sheng #3389 | Done Wei-Sheng #3389 | Artidoro#3322 | |
| Sdca Max Ent | Linear | 0 | Shahab #2771 | Done Wei-Sheng #3433 | #2771 | Artidoro #3322 |
| Sdca Non Calibrated | Linear | 0 | Done Wei-Sheng #3433 | Artidoro #3322 | ||
| LightGbm | Tree | 0 | Shahab #2886 | Done @codemzs #3427 | #2729 | Artidoro #3322 |
| OneVersusAll | Meta | 0 | Gani Done | Done Gani #3387 | Done | Artidoro #3322 |
| PairwiseCoupling | Meta | 1 | Gani Done | Done Gani #3387 | Done | Artidoro #3322 |
| NaiveBayes | Linear | 2 | Gani Done | Done Gani #3387 | Done | Artidoro #3322 |
Regression.Trainers
| Regression.Trainers | Category | Priority | Docs (1st pass) | Docs (2nd pass) | Samples | Samples (2nd pass) |
|---|---|---|---|---|---|---|
| StochasticDual CoordinateAscent | Linear | 0 | Shahab #2771 | @codemzs #3403 | #2771 | Wei-Sheng #3319 |
| PoissonRegression | Linear | 0 | Shahab #3059 | Done @codemzs #3404 | #3067 | Wei-Sheng #3319 |
| OrdinaryLeastSquares | Linear | 0 | Shahab #3059 | Done @codemzs #3405 | Done | Wei-Sheng #3319 |
| OnlineGradientDescent | Linear | 1 | Shahab #3059 | Done @codemzs #3422 | #3067(#2425 needs to be fixed for the sample to be included | Wei-Sheng #3319 |
| LightGbm | Tree | 0 | Shahab #2886 | Done @codemzs #3410 | #2729 | Wei-Sheng #3319 |
| FastForest | Tree | 0 | Shahab #2970 | Done @codemzs #3411 | #2999 | Wei-Sheng #3319 |
| FastTree | Tree | 0 | Shahab #2970 | Done @codemzs #3412 | #2999 | Wei-Sheng #3319 |
| FastTreeTweedie | Tree | 0 | Shahab #2970 | Done @codemzs #3414 | #2999 | Wei-Sheng #3319 |
| Generalized AdditiveModels | GAM | 1 | Rogan | Done @codemzs #3421 | #2999 | Wei-Sheng #3319 |
Misc catalogs
| Catalog | Trainer | Priority | Docs | Docs (2nd pass) | Samples | Samples (2nd pass) |
|---|---|---|---|---|---|---|
| Clustering | KMeans | 0 | Done Gani #3387 | Artidoro #3317 | ||
| AnomalyDetection | RandomizedPca | 1 | Yael | @codemzs #3429 | Done | Done |
| Ranking | FastTree | 2 | Shahab #2970 | Done @codemzs #3430 | Artidoro #3338 | |
| Ranking | LightGbm | 2 | Shahab #2886 | Done @codemzs #3431 | #2729 | Artidoro #3338 |
| Recommendation | MatrixFactorization | 1 | Wei-Sheng #3409 | Done Wei-Sheng #3409 | Wei-Sheng #3362 |
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documentationRelated to documentation of ML.NETRelated to documentation of ML.NET