__mlspl_risky_spl_pre_trained_model.mlmodel

algo,model,options
DetectRiskySPL,"{""__mlspl_type"": [""algos.DetectRiskySPL"", ""DetectRiskySPL""], ""dict"": {""classes"": null, ""target_variable"": [""risk_score""], ""feature_variables"": [""spl_text""], ""columns"": [""spl_text""], ""estimator"": {""__mlspl_type"": [""sklearn.pipeline"", ""Pipeline""], ""dict"": {""steps"": [[""features"", {""__mlspl_type"": [""sklearn.feature_extraction.text"", ""CountVectorizer""], ""dict"": {""input"": ""content"", ""encoding"": ""utf-8"", ""decode_error"": ""strict"", ""strip_accents"": null, ""preprocessor"": null, ""tokenizer"": null, ""analyzer"": ""word"", ""lowercase"": true, ""token_pattern"": "" collect | delete | fit | outputcsv | outputlookup |adhoc| sendalert | sendemail |splunk\\-system\\-user| tscollect | run | script | runshellscript "", ""stop_words"": null, ""max_df"": 1.0, ""min_df"": 1, ""max_features"": null, ""ngram_range"": [1, 1], ""vocabulary"": null, ""binary"": false, ""dtype"": {""__mlspl_type"": [""builtins"", ""type""], ""type"": [""numpy"", ""int64""]}, ""fixed_vocabulary_"": false, ""_stop_words_id"": 94300723879360, ""stop_words_"": {""__mlspl_type"": [""builtins"", ""set""], ""set"": []}, ""vocabulary_"": {""splunk-system-user"": 12, "" delete "": 1, ""adhoc"": 11, "" outputlookup "": 4, "" script "": 7, "" run "": 5, "" collect "": 0, "" sendemail "": 9, "" sendalert "": 8, "" outputcsv "": 3, "" fit "": 2, "" runshellscript "": 6, "" tscollect "": 10}}}], [""predictor"", {""__mlspl_type"": [""sklearn.linear_model._logistic"", ""LogisticRegression""], ""dict"": {""penalty"": ""l2"", ""dual"": false, ""tol"": 0.0001, ""C"": 1.0, ""fit_intercept"": true, ""intercept_scaling"": 1, ""class_weight"": {""0"": 1, ""1"": 10}, ""random_state"": null, ""solver"": ""liblinear"", ""max_iter"": 100, ""multi_class"": ""auto"", ""verbose"": 0, ""warm_start"": false, ""n_jobs"": null, ""l1_ratio"": null, ""n_features_in_"": 13, ""classes_"": {""__mlspl_type"": [""numpy"", ""ndarray""], ""npy"": ""k05VTVBZAQB2AHsnZGVzY3InOiAnPGk4JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDIsKSwgfSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAoAAAAAAAAAAAEAAAAAAAAA""}, ""coef_"": {""__mlspl_type"": [""numpy"", ""ndarray""], ""npy"": ""k05VTVBZAQB2AHsnZGVzY3InOiAnPGY4JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDEsIDEzKSwgfSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAqulbT8VG8TQJU6VfC9QuY/kCCmapJVFUDQl14TS2ApPw5vYc32jBxAxVuQ3Sv35D8Y+azG/kDmP9vpUE0rTwlALsMVcoUGE0ASjjFaKyMaQA2zZ/yMQRZAQLZHc97OHEAfrzTDBGwSwA==""}, ""intercept_"": {""__mlspl_type"": [""numpy"", ""ndarray""], ""npy"": ""k05VTVBZAQB2AHsnZGVzY3InOiAnPGY4JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDEsKSwgfSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAqBnhyKtBckwA==""}, ""n_iter_"": {""__mlspl_type"": [""numpy"", ""ndarray""], ""npy"": ""k05VTVBZAQB2AHsnZGVzY3InOiAnPGk0JywgJ2ZvcnRyYW5fb3JkZXInOiBGYWxzZSwgJ3NoYXBlJzogKDEsKSwgfSAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAoLAAAA""}}}]], ""memory"": null, ""verbose"": false}}}}","{""args"": [""risk_score"", ""spl_text""], ""target_variable"": [""risk_score""], ""feature_variables"": [""spl_text""], ""model_name"": ""risky_spl_pre_trained_model"", ""algo_name"": ""LogisticRegression"", ""mlspl_limits"": {""handle_new_cat"": ""default"", ""max_distinct_cat_values"": ""100"", ""max_distinct_cat_values_for_classifiers"": ""100"", ""max_distinct_cat_values_for_scoring"": ""100"", ""max_fit_time"": ""600"", ""max_inputs"": ""100000"", ""max_memory_usage_mb"": ""1024"", ""max_model_size_mb"": ""15"", ""max_score_time"": ""600"", ""streaming_apply"": ""false"", ""use_sampling"": ""true""}, ""kfold_cv"": null}"