• Data Access
• copy_repository_entry
• delete_repository_entry
• external_retrieve
• external_store
• move_repository_entry
• rename_repository_entry
• retrieve
• store
• Files
• Read
• Read SAS
• read_access
• read_arff
• read_bibtex
• read_c4.5
• read_csv
• read_dasylab
• read_dbase
• read_excel
• read_spss
• read_stata
• read_url
• read_xml
• read_xrff
• Write
• Write PMML
• write_access
• write_arff
• write_csv
• write_excel
• write_special
• write_xrff
• Database
• read_database
• update_database
• write_database
• NoSQL
• Cassandra
• Delete Cassandra
• Execute CQL
• Read Cassandra
• Write Cassandra
• MongoDB
• Delete MongoDB
• Execute MongoDB Command
• Read MongoDB
• Update MongoDB
• Write MongoDB
• Solr
• Add to Solr (Data)
• Add to Solr (Documents)
• Search Solr (Data)
• Search Solr (Documents)
• Applications
• Trigger Zapier
• Qlik
• Write QVX
• Splunk
• Search Splunk
• Salesforce
• Delete Salesforce
• Read Salesforce
• Update Salesforce
• Write Salesforce
• Mozenda
• Read Mozenda
• Cloud Storage
• Amazon S3
• Delete Amazon S3
• Loop Amazon S3
• Read Amazon S3
• Write Amazon S3
• Azure Blob Storage
• Delete Azure Blob Storage Resource
• Loop Azure Blob Storage
• Read Azure Blob Storage
• Write Azure Blob Storage
• Azure Data Lake Storage Gen2
• Delete Azure Data Lake Storage Gen2 Resource
• Loop Azure Data Lake Storage Gen2
• Read Azure Data Lake Storage Gen2
• Write Azure Data Lake Storage Gen2
• Dropbox
• Read Dropbox
• Write Dropbox
• Google Storage
• Loop Google Storage
• Read Google Storage
• Write Google Storage
• Google Drive
• Create Google Drive Folder
• Delete Google Drive
• Loop Google Drive
• Read Google Drive
• Write Google Drive
• Google BigQuery
• Write Google BigQuery
• Google Sheets
• Delete Google Sheets
• List Google Sheets
• Read Google Sheets
• Write Google Sheets
• IoT
• Altair IoT
• Get Data (IoT)
• Get Token (IoT)
• Blending
• Python Transformer
• Attributes
• order_attributes
• Names & Roles
• rename
• rename_by_example_values
• rename_by_generic_names
• rename_by_replacing
• set_role
• Types
• One-Hot Encoding
• Target Encoding
• date_to_nominal
• date_to_numerical
• format_numbers
• guess_types
• nominal_to_binominal
• nominal_to_date
• nominal_to_numerical
• nominal_to_text
• numerical_to_binominal
• numerical_to_date
• numerical_to_polynominal
• numerical_to_real
• parse_numbers
• real_to_integer
• set_positive_value
• text_to_nominal
• Selection
• remove_attribute_range
• remove_correlated_attributes
• remove_useless_attributes
• select_attributes
• select_by_random
• select_by_weights
• work_on_subset
• Generation
• Generate Batch
• Text Vectorization
• generate_absolutes
• generate_aggregation
• generate_columns
• generate_concatenation
• generate_copy
• generate_empty_attribute
• generate_function_set
• generate_gaussians
• generate_id
• generate_item_set_indicators
• generate_products
• generate_tfidf
• generate_weight_lpr
• generate_weight_stratification
• Examples
• Filter
• filter_example_range
• filter_examples
• Sampling
• sample
• sample_bootstrapping
• sample_kennard_stone
• sample_model_based
• sample_stratified
• split_data
• Sort
• shuffle
• sort
• sort_by_pareto_rank
• Table
• Grouping
• aggregate
• Rotation
• de_pivot
• pivot
• transpose
• Joins
• Append (Robust)
• append
• cartesian_product
• intersect
• join
• set_minus
• superset
• union
• Values
• add
• adjust_date
• cut
• map
• merge
• remap_binominals
• replace
• replace_dictionary
• set_data
• split
• trim
• Cleansing
• Quality Measures
• Statistics
• Normalization
• denormalize
• normalize
• scale_by_weights
• Binning
• discretize_by_bins
• discretize_by_entropy
• discretize_by_frequency
• discretize_by_size
• discretize_by_user_specification
• Missing
• Handle Unknown Values
• Replace All Missings
• declare_missing_value
• fill_data_gaps
• impute_missing_values
• remove_unused_values
• replace_infinite_values
• replace_missing_values
• Duplicates
• remove_duplicates
• Outliers
• detect_outlier_cof
• detect_outlier_densities
• detect_outlier_distances
• detect_outlier_lof
• Dimensionality Reduction
• independent_component_analysis
• principal_component_analysis
• principal_component_analysis_kernel
• self_organizing_map
• singular_value_decomposition
• Modeling
• Python Forecaster
• Python Learner
• Predictive
• create_formula
• group_models
• ungroup_models
• update_model
• Lazy
• default_model
• k_nn
• Bayesian
• naive_bayes
• naive_bayes_kernel
• Trees
• Gradient Boosted Trees
• chaid
• decision_stump
• decision_tree_multiway
• decision_tree_weight_based
• id3
• parallel_decision_tree
• parallel_random_forest
• random_tree
• Rules
• rule_induction
• single_rule_induction
• single_rule_induction_single_attribute
• subgroup_discovery
• tree_to_rules
• Neural Nets
• Deep Learning
• auto_mlp
• neural_net
• perceptron
• Functions
• Generalized Linear Model
• function_fitting
• gaussian_process
• linear_regression
• local_polynomial_regression
• polynomial_regression
• relevance_vector_machine
• seemingly_unrelated_regression
• vector_linear_regression
• Logistic Regression
• Logistic Regression
• logistic_regression
• logistic_regression_evolutionary
• Support Vector Machines
• fast_large_margin
• hyper_hyper
• support_vector_machine
• support_vector_machine_evolutionary
• support_vector_machine_libsvm
• support_vector_machine_linear
• support_vector_machine_pso
• Discriminant Analysis
• linear_discriminant_analysis
• quadratic_discriminant_analysis
• regularized_discriminant_analysis
• Ensembles
• Multi Label Modeling
• adaboost
• additive_regression
• bagging
• bayesian_boosting
• classification_by_regression
• find_threshold_meta
• hierarchical_multi_class_classification
• metacost
• polynomial_by_binomial_classification
• relative_regression
• stacking
• subgroup_discovery_meta
• transformed_regression
• vote
• Segmentation
• Cluster Model Visualizer
• agglomerative_clustering
• dbscan_apache
• extract_prototypes
• fast_k_means
• flatten_clustering
• k-Means (H2O)
• k_means
• k_means_kernel
• k_medoids
• random_clustering
• support_vector_clustering
• top_down_clustering
• x_means
• Associations
• apply_association_rules
• create_association_rules
• fp_growth
• generalized_sequential_patterns
• item_sets_to_data
• unify_item_sets
• Correlations
• anova_matrix
• correlation_matrix
• covariance_matrix
• grouped_anova
• mututal_information_matrix
• rainflow_matrix
• transition_graph
• transition_matrix
• Similarities
• cross_distances
• data_to_similarity
• data_to_similarity_data
• similarity_to_data
• Feature Weights
• data_to_weights
• weight_by_chi_squared_statistic
• weight_by_component_model
• weight_by_correlation
• weight_by_deviation
• weight_by_forest
• weight_by_gini_index
• weight_by_information_gain
• weight_by_information_gain_ratio
• weight_by_pca
• weight_by_relief
• weight_by_rule
• weight_by_svm
• weight_by_uncertainty
• weight_by_user_specification
• weight_by_value_average
• weights_to_data
• Optimization
• Apply Feature Set
• Automatic Feature Engineering
• Unsupervised Feature Selection
• Parameters
• clone_parameters
• optimize_parameters_evolutionary
• optimize_parameters_grid
• optimize_parameters_quadratic
• set_parameters
• Feature Selection
• optimize_selection
• optimize_selection_backward
• optimize_selection_brute_force
• optimize_selection_evolutionary
• optimize_selection_forward
• optimize_selection_weight_guided
• Feature Generation
• optimize_by_generation_aga
• optimize_by_generation_evolutionary_aggregation
• optimize_by_generation_gga
• optimize_by_generation_yagga
• optimize_by_generation_yagga2
• Feature Weighting
• optimize_weights_backward
• optimize_weights_evolutionary
• optimize_weights_forward
• optimize_weights_pso
• Time Series
• Transformation
• Autocorrelation / Autocovariance
• Differentiate
• Equalize Numerical Indices
• Equalize Time Stamps
• Exponential Smoothing
• Fast Fourier Transformation
• Highest Peak Transformation
• Integrate
• Lag
• Logarithm
• Moving Average Filter
• Normalize (Series)
• Replace Missing Values (Series)
• Z-Score Peak Transformation
• Decomposition
• Classic Decomposition
• STL Decomposition
• Feature Extraction
• Extract Aggregates
• Extract Coefficients (Polynomial Fit)
• Extract Mode
• Extract Peaks
• Windowing
• Process Windows
• Windowing
• Forecasting
• ARIMA
• Apply Forecast
• Default Forecast
• Function and Seasonal Component Forecast
• Holt-Winters
• Multi Horizon Forecast
• Validation
• Forecast Validation
• Multi Horizon Performance
• Sliding Window Validation
• Utility
• Generate Data (ARIMA)
• Scoring
• Cost-Sensitive Scoring
• Explain Predictions
• Model Simulator
• Prescriptive Analytics
• apply_model
• Confidences
• Rescale Confidences (Logistic)
• apply_threshold
• create_threshold
• drop_uncertain_predictions
• find_threshold
• generate_prediction
• generate_prediction_ranking
• select_recall
• Validation
• bootstrapping_validation
• cross_validation
• split_validation
• wrapper_split_validation
• wrapper_x_validation
• Performance
• Multi Label Performance
• combine_performances
• extract_performance
• performance
• performance_min_max
• performance_to_data
• performance_user_based
• Predictive
• performance_attribute_count
• performance_binominal_classification
• performance_classification
• performance_costs
• performance_ranking
• performance_regression
• performance_support_vector_count
• Segmentation
• cluster_count_performance
• cluster_density_performance
• cluster_distance_performance
• item_distribution_performance
• map_clustering_on_labels
• Significance Tests
• anova
• t_test
• Visual
• Lift Chart (Simple)
• compare_rocs
• create_lift_chart
• visualize_model_by_som
• Utility
• Schedule Process
• execute_process
• multiply
• subprocess
• Scripting
• Execute Python
• Execute R
• execute_program
• execute_script
• execute_sql
• Process Control
• publish_to_app
• recall
• recall_from_app
• remember
• Loops
• loop
• loop_and_average
• loop_and_deliver_best
• loop_attribute_subsets
• loop_attributes
• loop_batches
• loop_clusters
• loop_collection
• loop_data_fractions
• loop_data_sets
• loop_examples
• loop_files
• loop_labels
• loop_parameters
• loop_repository
• loop_until
• loop_values
• loop_zipfile_entries
• Branches
• branch
• select_subprocess
• Collections
• Performance Average (Robust)
• average
• collect
• flatten_collection
• select
• Exceptions
• handle_exception
• throw_exception
• Macros
• extract_macro
• generate_macro
• set_macro
• set_macros
• unset_macro
• Files
• add_entry_to_archive_file
• copy_file
• create_archive_file
• create_directory
• delete_file
• move_file
• open_file
• rename_file
• write_as_text
• write_file
• write_message
• Annotations
• annotate
• annotations_to_data
• data_to_annotations
• extract_macro_from_annotation
• Logging
• clear_log
• extract_log_value
• log
• log_to_data
• log_to_weights
• print_to_console
• provide_macro_as_log_value
• Data Anonymization
• de_obfuscate
• obfuscate
• Random Data Generation
• add_noise
• create_exampleset
• generate_churn_data
• generate_data
• generate_direct_mailing_data
• generate_massive_data
• generate_multi_label_data
• generate_nominal_data
• generate_sales_data
• generate_team_profit_data
• generate_transaction_data
• generate_transfer_data
• generate_up_selling_data
• Misc
• delay
• free_memory
• join_paths
• materialize_data
• send_mail_attachments
• Extensions
• Kafka Connector
• Kafka
• Read Kafka Topic
• Write Kafka Topic
• MLFlow
• Experiments
• Create Experiment
• Create Run
• Delete Experiment
• Delete Run
• Get Experiments
• Get Run
• Get Runs
• Log Run
• Models
• Create Model
• Create Model Version
• Get Model Information
• Retrieve Model
• Transition Stage
• Text Processing
• Create Document
• Data to Documents
• Documents to Data
• Extract Document
• Process Documents
• Process Documents from Data
• Process Documents from Files
• Process Documents from Mail Store
• Read Document
• Read Documents (Mail)
• Write Document
• Generation
• Generate Extract
• Utility
• Data To JSON
• JSON To Data
• WordList to Data
• Files
• Split File by Content
• Split File by Point
• Tokenization
• Tokenize
• Extraction
• Aggregate Meta Data
• Aggregate Token Length
• Extract Information
• Extract Length
• Extract Token Number
• Filtering
• Filter Documents (by Content)
• Filter Stopwords (Arabic)
• Filter Stopwords (Czech)
• Filter Stopwords (Dictionary)
• Filter Stopwords (English)
• Filter Stopwords (French)
• Filter Stopwords (German)
• Filter Tokens (by Content)
• Filter Tokens (by Length)
• Filter Tokens (by POS Ratios)
• Filter Tokens (by POS Tags)
• Filter Tokens (by Region)
• Stemming
• Stem (Arabic)
• Stem (Arabic, Light)
• Stem (Dictionary)
• Stem (German)
• Stem (Lovins)
• Stem (Porter)
• Stem (Snowball)
• Transformation
• Combine Documents
• Cut Document
• Generate n-Grams (Characters)
• Generate n-Grams (Terms)
• HTML to XML
• Keep Document Parts
• Process XSLT
• Remove Document Parts
• Replace Tokens
• Transform Cases
• Window Document
• Web Mining
• Clear Cookies
• Crawl Web
• Get Page
• Get Pages
• Process Documents from Web
• Read RSS Feed
• Services
• Enrich Data by Webservice
• Html Processing
• Extract Content
• Unescape HTML Document
• Utility
• Decode URLs
• Encode URLs
• JSON to XML
• Unescape HTML
• Rest
• DELETE (REST)
• GET (REST)
• PATCH (REST)
• POST (REST)
• PUT (REST)
• Admin Tools
• Data Access
• Edit Access Rights
• Ai Hub
• Add Contents to Project (AI Hub)
• Create Project (AI Hub)
• Delete Project (AI Hub)
• Delete Schedule (AI Hub)
• Get JWT (AI Hub)
• Get Jobs (AI Hub)
• Get Log (AI Hub)
• Get Metrics (AI Hub)
• Get Project (AI Hub)
• Get Projects (AI Hub)
• Get Schedules (AI Hub)
• Kill Job (AI Hub)
• Run Job (AI Hub)
• Schedule Job (AI Hub)
• Rtsa
• Call Endpoint(RTSA)
• Delete Deployment (RTSA)
• Deploy Project (RTSA)
• Get Endpoints (RTSA)
• Get Log (RTSA)
• Get Logs (RTSA)
• Image Processing
• Transformations
• Align Image
• Apply Threshold
• Blur Image
• Color Scale Image
• Convert Color
• Crop Image
• Dilate Image
• Erode Image
• Flip Image
• Generate Pixel Aggregation
• Invert Image
• Resize Image
• Rotate Image
• Translate Image
• Data Access
• Extract Image Information
• Image to Table
• Process Images from Webcam
• Read Image
• Read Image from Webcam
• Read Video
• Table to Image
• Write Image
• Regions
• Add Region
• Other
• Detect Lines
• Detect Text (OCR)
• Custom Operators
• Parameter Helper
• Attribute Parameter Macro
• Boolean Parameter Macro
• Category Parameter Macro
• Directory Parameter Macro
• Double Parameter Macro
• File Parameter Macro
• Integer Parameter Macro
• Repository Location Parameter Macro
• Text Parameter Macro
• Data Access
• Execute Process from Custom Extension
• Open File from Custom Extension
• Read Dictionary
• Retrieve from Custom Extension
• Progress
• Step Custom Progress
• Total Custom Progress
• Utility
• Custom Subprocess
• Metadata Helper
• Throw Custom Error
• Generative AI
• Generate Image (LLM)
• Generate Text (LLM)
• In-Database Processing
• In Database Nest
• Data Access
• Retrieve (In Database)
• Store (In Database)
• Blending
• Aggregate (In Database)
• Convert Type (In Database)
• Custom Query (In Database)
• Filter Example Range (In Database)
• Filter Examples (In Database)
• Generate Attributes (In Database)
• Generate Rank (In Database)
• Join (In Database)
• Rename (In Database)
• Rename by Replacing (In Database)
• Reorder Attributes (In Database)
• Replace (In Database)
• Sample (In Database)
• Select Attributes (In Database)
• Sort (In Database)
• Union (In Database)
• Cleansing
• Declare Missing Value (In Database)
• Remove Duplicates (In Database)
• Replace Missing Values (In Database)
• Utility
• Multiply (In Database)
• Subprocess (In Database)
• Operator Toolbox
• Blending
• Build Simulation
• Extract Statistics
• Filter Attributes with Missing Values
• Filter Examples with Missing Values
• Generate Aggregation (Advanced)
• Generate Partial Dependency Plot Data
• Get Holidays
• Rename by Multiple Examples
• Replace Rare Values
• SMOTE Upsampling
• Weight of Evidence
• Table
• Append (Superset)
• Collect and Persist
• Fuzzy Matching
• Group Into Collection
• Merge Attributes
• Sample (Collection)
• Sort (Multiple)
• Attribute Generation
• Calculate Overlaps
• Generate Levenshtein Distance
• Generate Phonetic Encodings
• Generate Power Transform
• Generate Session ID
• Data Access
• Read Excel Sheet Names
• Read Office File
• Read SFTP
• Read Yahoo Finance
• Un-gzip
• Write SFTP
• Data Export
• Store (Tagged)
• Feature Selection
• Select by Weights (Multi)
• Macros
• Extract Last Modifying Operator
• Extract Macro (Format)
• Set Macro (Real)
• Set Macros from ExampleSet
• Models
• Apply Association Rules (Detailed)
• Check Model Conformance
• GLM Contribution
• Get Decision Tree Path
• Local Interpretation (LIME)
• Optimize Threshold
• Optimize Threshold (Subprocess)
• Random Forest Encoder
• Outliers
• Tukey Test
• Parameters
• Get Parameters
• Set Parameters from ExampleSet
• Performance
• Performance (AUPRC)
• Text Processing
• Apply Model (Documents)
• Dictionary-Based Sentiment (Documents)
• Extract Sentiment
• Extract Topics from Data (LDA)
• Extract Topics from Documents (LDA)
• Filter Tokens Using ExampleSet
• Split Document into Collection
• Stem Tokens Using ExampleSet
• Utility
• Base64 to Image
• Execute Remote Program
• Image to Base64
• List Repository Objects
• Log Operator Runtimes
• Scan Processes
• Set Meta Data
• Subprocess (Caching)
• Subprocess (Parallel)
• Try (Multiple)
• Deployment
• Remote Python Context