Ecosyste.ms: Issues
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GitHub / jpmml/sklearn2pmml issues and pull requests
#440 - EBM pmml does not support missing values
Issue -
State: open - Opened by sadsquirrel369 13 days ago
- 2 comments
#439 - Convert the Deep-Forest model to pmml format
Issue -
State: open - Opened by zilinly about 1 month ago
- 6 comments
#438 - Support for customizing missing/invalid value handling across all customer Transformer classes (similar to what's already available in `ExpressionTransformer`)
Issue -
State: open - Opened by philip-bingham about 2 months ago
- 6 comments
#437 - publish wheels
Issue -
State: closed - Opened by dimbleby about 2 months ago
- 2 comments
#436 - Detect invalid value treatment policy based on the "transformer composition" of SkLearn pipeline
Issue -
State: open - Opened by fritshermans 2 months ago
- 12 comments
#435 - Multiple sequential model inside a Pipeline
Issue -
State: closed - Opened by sulavtimilsina 3 months ago
- 18 comments
#434 - PMML pipeline not working as expected after version upgrade
Issue -
State: closed - Opened by mzeres 5 months ago
- 6 comments
#433 - PMML version downgrade is blocked by `Version#XPMML`-annotated vendor extension markup
Issue -
State: closed - Opened by pchitimi 5 months ago
- 9 comments
#432 - How can use a method similar to pandas' groupby to group a dataset and use `numpy.random.uniform` function?
Issue -
State: open - Opened by lanze0000 6 months ago
- 2 comments
#431 - CategoricalDomain performance in transform step
Issue -
State: open - Opened by a-rudnik 6 months ago
- 5 comments
#430 - Legacy SkLearn2PMML package versions don't recognize Numpy 2.X classes
Issue -
State: closed - Opened by psharma-dev 6 months ago
- 1 comment
#429 - Incorrect One-Hot Encoding Transformation in PMML Output Using sklearn2pmml
Issue -
State: closed - Opened by terryjunyang 6 months ago
- 3 comments
#428 - The `MiningField@invalidValueTreatment` attribute gets silently overriden by `OneHotEncoder` transformer
Issue -
State: open - Opened by kausmees 6 months ago
- 7 comments
#427 - Comparing predictions with modified feature values in a pmml pipeline
Issue -
State: closed - Opened by sulavtimilsina 6 months ago
- 5 comments
#426 - POST PROCESSING IN PMML
Issue -
State: closed - Opened by andru98 6 months ago
- 1 comment
#425 - How to reference categorical input feature(s) during the post-processing in PMML pipeline
Issue -
State: closed - Opened by andru98 7 months ago
- 5 comments
#424 - Referencing input feature(s) during the post-processing in PMML pipeline
Issue -
State: closed - Opened by andru98 7 months ago
- 2 comments
#423 - How to properly re-use raw features
Issue -
State: closed - Opened by woodly0 9 months ago
- 23 comments
#422 - ExplainableBoostingRegressor not supporting other link functions
Issue -
State: closed - Opened by sadsquirrel369 9 months ago
- 1 comment
#421 - RegEx expressions are un-evaluatable due to missing `(pc)re` imports
Issue -
State: closed - Opened by woodly0 9 months ago
- 8 comments
#420 - CategoricalDomain decorator doesn't work with nullable pandas Int64 column
Issue -
State: open - Opened by a-rudnik 9 months ago
- 3 comments
#418 - Pandas not installed as dependency
Issue -
State: closed - Opened by abdspc 11 months ago
- 2 comments
#417 - Allow directly passing an LGBM Booster as a Classifier or Regressor
Pull Request -
State: closed - Opened by rahul-theorem 11 months ago
- 2 comments
#416 - Pandas 2.2 FutureWarning for time series offset aliases
Issue -
State: closed - Opened by woodly0 11 months ago
- 2 comments
#415 - Create .pmml File for Calibrated xgboost Model
Issue -
State: closed - Opened by mlsquareup 11 months ago
- 8 comments
#414 - Fix regex escapes in entrypoint
Pull Request -
State: closed - Opened by rahul-theorem 12 months ago
#413 - Feature request: Add ModelExplanation element with various model evaluation info to PMML for regressions/decision trees/other models
Issue -
State: closed - Opened by sveta-levitan about 6 years ago
- 4 comments
#412 - NullPointerException when using OneHotEncoder with Integer Categorical Variables in sklearn2pmml
Issue -
State: closed - Opened by SimonRbk95 12 months ago
- 10 comments
#411 - Ability to "refine" (categorical-) valid value spaces along the transformer pipeline
Issue -
State: closed - Opened by mbicanic 12 months ago
- 17 comments
#410 - Convenience API for embedding model evaluation metrics as `ModelExplanation` element
Issue -
State: closed - Opened by dfarren 12 months ago
- 13 comments
#409 - Compatibility with Scikit-Learn 1.4.0
Issue -
State: closed - Opened by mmarinaki about 1 year ago
- 8 comments
#408 - ImportError: cannot import name 'LabelBinarizer' from 'sklearn2pmml.preprocessing'
Issue -
State: closed - Opened by mmarinaki about 1 year ago
- 2 comments
#407 - PyPMML is making systematically off predictions with XGBoost PMML documents?
Issue -
State: closed - Opened by claudiocc1 about 1 year ago
- 16 comments
#406 - Can sklearn2pmml just for variable transformations be used?
Issue -
State: closed - Opened by jfdatascience about 1 year ago
- 1 comment
#405 - xgb 生成的pkl 转pmml 失败
Issue -
State: closed - Opened by songsong124 about 1 year ago
- 1 comment
#404 - How to convert multi-output regression to pmml? It seems that traditional pmml does not support multiple outputs.
Issue -
State: open - Opened by situjunhao about 1 year ago
- 4 comments
#403 - LookupTransformer TypeError when default value is not exactly the type from the mapping
Issue -
State: closed - Opened by danmar3 about 1 year ago
- 2 comments
#402 - sklearn2pmml does not work with xgboost >= 2.0.0
Issue -
State: closed - Opened by a-rudnik about 1 year ago
- 9 comments
#401 - sklearn2pmml does not work with sklearn version 1.3.0 and newer
Issue -
State: closed - Opened by fritshermans about 1 year ago
- 6 comments
#400 - Reshape transformation results from 2-D to 1-D (column vectors)
Issue -
State: closed - Opened by vruusmann about 1 year ago
- 1 comment
#399 - Storing LinearSVC as coefficients instead of support vectors
Issue -
State: closed - Opened by HannahandRik about 1 year ago
- 1 comment
#398 - `Alias` object has no attribute `transformer_`
Issue -
State: closed - Opened by woodly0 over 1 year ago
- 8 comments
#397 - `ExpressionTransformer` should try to rectify feature type information
Issue -
State: open - Opened by woodly0 over 1 year ago
- 5 comments
#396 - Support for AgglomerativeClustering
Issue -
State: closed - Opened by kota7 over 1 year ago
- 2 comments
#395 - Revisit the missing value handling of custom transformers
Issue -
State: closed - Opened by vruusmann over 1 year ago
- 1 comment
#394 - Effectively debugging XGBoost pipelines (mis-matching predictions between Python and (J)PMML)
Issue -
State: closed - Opened by jhaneyrf over 1 year ago
- 14 comments
#393 - Failing to convert `CalibratedClassifierCV` plus `XGBClassifier` combination
Issue -
State: closed - Opened by puifais over 1 year ago
- 12 comments
#392 - looking for support on quantile_forest for RandomForestQuantileRegressor
Issue -
State: closed - Opened by akashkumar398 over 1 year ago
- 2 comments
#391 - Assembling a pipeline from pre-fitted components
Issue -
State: closed - Opened by jhaneyrf over 1 year ago
- 3 comments
#390 - Support for Python power operator `**`
Issue -
State: closed - Opened by jsgarcesc over 1 year ago
- 1 comment
#389 - Missing dependency `dill` from `setup.py`.
Issue -
State: closed - Opened by UriyaHarpeness over 1 year ago
- 7 comments
#388 - Error when using `TargetEncoder` within `DataFrameMapper` within pipeline
Issue -
State: closed - Opened by woodly0 over 1 year ago
- 6 comments
#387 - Revert PMML file to Python source code
Issue -
State: closed - Opened by liuhuanshuo over 1 year ago
- 1 comment
#386 - Support for the `OneHotEncoder.infrequent_categories_` attribute
Issue -
State: closed - Opened by BillyBonaros over 1 year ago
- 1 comment
#385 - Replace sklearn.base.clone with copy.deepcopy for Link class init
Pull Request -
State: closed - Opened by ylogachev over 1 year ago
#384 - Link Estimator with prefit=True doesn't work
Issue -
State: closed - Opened by ylogachev over 1 year ago
#383 - Postprocessing the probabilities of an XGBoost Model
Issue -
State: closed - Opened by jfdatascience over 1 year ago
- 3 comments
#382 - Patching 0.51.1 for unknown categorical variables
Issue -
State: closed - Opened by mshahmoh over 1 year ago
- 4 comments
#381 - sklearn2pmml fails to create pmml for XGBoost model
Issue -
State: closed - Opened by gaurbans over 1 year ago
- 1 comment
#380 - Failure to create a pmml file when using CountVectorizer with analyzer = 'char'
Issue -
State: closed - Opened by elsayedrashed almost 2 years ago
- 1 comment
#379 - Support for `numpy.datetime64` data type(s)
Issue -
State: closed - Opened by woodly0 almost 2 years ago
- 23 comments
#378 - Unpickling error: invalid pickle opcode: 64
Issue -
State: closed - Opened by lanze0000 almost 2 years ago
- 3 comments
#377 - Support for `AdaBoostClassifier` (revisited)
Issue -
State: open - Opened by MooTong123 almost 2 years ago
- 1 comment
#376 - MLPClassifier mis-interprets label (multiclass vs multioutput)
Issue -
State: closed - Opened by algarnims almost 2 years ago
- 6 comments
#375 - [Request] Add support for CalibratedClassifierCV
Issue -
State: closed - Opened by YasinRadi almost 2 years ago
- 1 comment
#374 - What is an `x-multiModelChain` multiple model type?
Issue -
State: closed - Opened by AtharvaGh almost 2 years ago
- 1 comment
#373 - Pipeline and Loaded Model Gives Different Probabilities
Issue -
State: closed - Opened by aliyilmaz61 almost 2 years ago
- 2 comments
#372 - Is there a way to generate a derived field using another derived field?
Issue -
State: closed - Opened by stars-Universe almost 2 years ago
- 2 comments
#371 - builtins functions are not working when try to save pipeline
Issue -
State: closed - Opened by aliyilmaz61 almost 2 years ago
- 4 comments
#370 - SelectFirstClassifier will cause the predicted value of pmml to all become 0?
Issue -
State: closed - Opened by liuhuanshuo about 2 years ago
- 9 comments
#369 - Post-processing predicted probabilities using a helper (ie. exogenous) feature
Issue -
State: closed - Opened by liuhuanshuo about 2 years ago
- 7 comments
#368 - Excuse me, can I convert the vgg .pkl trained by pytroch to pmml format through sklean2pmml
Issue -
State: closed - Opened by danxuan2022 about 2 years ago
- 1 comment
#367 - ExpressionTransformer : Name 'X' refers to a row vector.
Issue -
State: closed - Opened by liuhuanshuo about 2 years ago
- 7 comments
#366 - The `StringNormalizer` transformer should perform input validation
Issue -
State: closed - Opened by liuhuanshuo about 2 years ago
- 9 comments
#365 - Fail to create pmml when `expr` of `ExpressionTransformer` is a function
Issue -
State: closed - Opened by hjh1011 about 2 years ago
- 6 comments
#363 - Function "stringLength" is not defined
Issue -
State: closed - Opened by liuhuanshuo about 2 years ago
- 2 comments
#362 - PMML target output from float to double precision
Issue -
State: closed - Opened by AraceliAL about 2 years ago
- 2 comments
#361 - API for customizing `OutputField` names
Issue -
State: open - Opened by vruusmann over 2 years ago
- 4 comments
#360 - Using `ExpressionTransformer` for column selection
Issue -
State: closed - Opened by vruusmann over 2 years ago
#359 - Renaming multiple columns with the `Alias` decorator
Issue -
State: closed - Opened by hjh1011 over 2 years ago
- 4 comments
#358 - Is there a way to combine multiple models into a single pmml file?
Issue -
State: closed - Opened by liuhuanshuo over 2 years ago
- 3 comments
#357 - Conversion error: "the estimator object does not specify the number of outputs"
Issue -
State: closed - Opened by Dopidotcsv over 2 years ago
- 3 comments
#356 - The trained model is transformed into pmml, but the prediction results are inconsistent
Issue -
State: closed - Opened by liuhuanshuo over 2 years ago
- 5 comments
#354 - Sklearn2pmml can't handle custom function or lambda functions?
Issue -
State: closed - Opened by liuhuanshuo over 2 years ago
- 29 comments
#353 - Does pipleline support custom fit_transform?
Issue -
State: closed - Opened by qianjiangchao1992 over 2 years ago
- 1 comment
#352 - The estimator object of the final step (Python class sklearn.svm._classes.SVR) does not specify the number of outputs
Issue -
State: closed - Opened by mxsrv over 2 years ago
- 2 comments
#351 - The estimator object of the final step (Python class sklearn.svm._classes.SVR) does not specify the number of outputs
Issue -
State: closed - Opened by mxsrv over 2 years ago
- 1 comment
#350 - Discrepancy with xgboost + TFIDF on prediction between Python and Java
Issue -
State: closed - Opened by rllmsu over 2 years ago
- 3 comments
#349 - Specifying the number and name of target fields
Issue -
State: closed - Opened by SRL94 over 2 years ago
- 2 comments
#348 - Verification of multi-output models
Issue -
State: closed - Opened by Rajeshyd0308 over 2 years ago
- 2 comments
#347 - Post Process the multiple outputs of random forest regressor
Issue -
State: closed - Opened by Rajeshyd0308 over 2 years ago
- 4 comments
#346 - Is pipeline.fit(X, y) required?
Issue -
State: closed - Opened by Rajeshyd0308 over 2 years ago
- 1 comment
#345 - The version of guava used by the most recent version of sklearn2pmml is flagged as vulnerable
Issue -
State: closed - Opened by jason-ogaard over 2 years ago
- 1 comment
#344 - sklearn2pmml PMMLPipeline TypeError: Last step of Pipeline should implement fit or be the string 'passthrough'.
Issue -
State: closed - Opened by GuiZhaoyang over 2 years ago
- 1 comment
#343 - The `Alias` decorator does not have any effect on the Python side
Issue -
State: closed - Opened by mmarinaki over 2 years ago
- 5 comments
#342 - Attaching post-processing to ensemble models
Issue -
State: closed - Opened by vkvrg over 2 years ago
- 1 comment
#341 - PMML downgrade from 4.4 to 4.3
Issue -
State: closed - Opened by AraceliAL over 2 years ago
- 1 comment
#340 - Reload the saved PMML model and run inference in Python
Issue -
State: closed - Opened by nicolas-gervais over 2 years ago
- 1 comment
#339 - Can't convert a model with categorical features
Issue -
State: closed - Opened by ToUranus over 2 years ago
- 1 comment
#338 - Native lightGBM does not reject predictions for invalid features, can domain decorators solve this problem?
Issue -
State: closed - Opened by ToUranus over 2 years ago
- 2 comments