CORE MODULES

In this new section we are going to see the different modules included in the SmartPredict palette of core modules , their roles and how to configure them.

SmartPredict Module Reference

  1. Basic Operations

    1. Item Saver

  2. Web Service

    1. Web Service IN

    2. Web Service OUT

  3. Data Retrieval

    1. Data Fetcher

    2. Data Frame loader/converter

    3. Image Data Loader

  4. Data Preprocessing

    1. Array Reshaper

    2. Generic Data Preprocessor

    3. Missing data handler

    4. Normalizer

    5. One Hot Encoder

    6. Ordinal Encoder

  5. Data Selection

    1. Features selector

    2. Generic data splitter

    3. Labeled data splitter

  6. Training and Prediction

    1. Predictor DL models

    2. Predictor ML models (Probabilistic models)

    3. Trainer ML models

    4. Trainer/Evaluator DL models

  7. Evaluation and Fine Tuning

    1. Cross Validator for ML

    2. Evaluator for ML models

  8. Machine Learning Algorithms

    1. KNeighbors Classifiers

    2. KNeighbors Regressor

    3. Linear Regressor

    4. Logistic Regressor

    5. MLP Classifier

    6. Random Forest Classifier

    7. Random Forest Regressor

    8. Support Vector Classifier

    9. XGBoost Classifier

    10. XGBoost Regressor

  9. Deep Learning Algorithms

    1. Dense Neural Networks

    2. Recurrent Neural Networks

  10. Computer Vision

    1. Convolutional Recurrent Networks

    2. Face detector

    3. Fully Convolutional Neural Networks

    4. Image IO

    5. Image matcher

    6. Yolo

  11. Natural Language Processing

    1. Text Cleaner

    2. Text Vectorizer

  12. Time Series Processing

    1. TS Features selector

  13. TensorFlow2 API

    1. Dense Layer

    2. LSTM Layer

  14. Helpers

    1. Data/Object Logger

    2. Object Selector (5ports)