Connectors

Read Databricks

Read CSV

Write CSV

Processors in Fire
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Processors for Machine Learning

Machine Learning
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Processors for reading & writing various file formats

Dataset
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Charts & Visualizations

Processors for creating charts  & visualizations

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Processors Overview

Fire Insights has a number of processors OOTB which help you

quickly perform Analytics and  build Intelligent Applications

Write

Databricks

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Processors for Transforming Data

Transform
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Processors for connecting to various Systems

Connectors
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Processors for performing NLP

NLP
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Machine Learning Processors

Prepare Data, Generate Features, and Perform Predictions on data of any size. Predict with modern ML Technologies: H2O, XGBoost, Amazon SageMaker, Apache Spark ML, Scikit-learn, etc

Powerful Features

  • Multiple ML Engines

  • Scalable & Distributed Modeling

  • Rich Analytics

  • Rich NLP

  • Integrate your own Algorithms

  • Save, Load & Deploy Models

  • Rich Visualizations

ML Engines

  • Scikit-Learn

  • Apache Spark ML

  • H2O

  • AWS Sagemaker

  • Keras

NLP

  • Built-in Support for NLP

  • Named Entity Extraction

  • Sentiment Analysis

  • Document Categorization

  • Sentence Detection

Algorithms

Scikit learn

Classification

Spark ML

Classification

  • Gradient Boosting Classifier

  • Logistic Regression

  • Random Forest Classifier

Regression

  •  BayesianRidgeRegression

  •  GradientBoostingRegression

  •  RandomForestRegression

  •  RidgeRegression

Regression

  • Decision Tree Classifier

  • GBT Classifier

  • Logistic Regression

  • MultiLayer Perception

  • Naive Bayes

  • Random Forest Classifier

  • XGBoost Classifier

Feature Extraction

  • Category Encoders

  • Polynomial

  • AFT Survival Regression

  • DecisionTreeRegression

  • GBTRegression

  • LinearRegression

  • RandomForestRegression

  • XGBoostRegression

Evaluator

  • Classification Evaluator

  • Regression Evaluator

  • Custom Metrics

Deep Learning

  • Dense Layer

  • Model Compile

  • Model Fit

  • Model Sequentiaia

H20

  • DistributedRandomForest

  •  GradientBoostingMachine

  • GeneralizedLinearModel

  • Isolation Forest

  • K-Means

  • NaiveBayes

  • Neural Network

  • PCA

  • WordToVec

  • XgBoost

Clustering

  • Gaussian Mixture

  • K-Means

  • LDA

Collaborative Filtering

  • ALS

Freq Pattern Mining

  • Split

  • Split Probability Column

  • Split With Stratified Sampling

Feature Selection

  • ChiSqSelector

  • VectorSlicer

Dimensionality Reduction

  • PCA

  • SVD

AWS Sagemaker

Feature Transformer

  • K-Means Sagemaker Estimator

  • PCA Sagemaker Estimator

  • Sagemaker Linear Learner Binary Classifier

  •  Sagemaker Linear Learner Regressor

  • Save Sage Maker format

  • XG boost Sagemaker Estimator

  • Binarizer

  • IDF

  • Index String

  • NGramTranformer

  • Normalizer

  • One Hot Encoder

  • Polynomial Expansion

  • Quantile Discretizer

  • Tokenizer

  • Vector Assembler

  • VectorFunctions

  • Vector Indexer

  • Word to Score Mapping

Feature Extraction

  • Count Vectorizer

  • Hashing

  • TF RFormula

  • Word2Vec

Feature Scaler

  • Min Max Scaler

  • Standard Scaler

PRODUCT

RESOURCES

COMPANY

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