Protopipe

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• Index of cards

Index of cards

Cards in Protopipe are like functions in any common programming language: they receive some inputs, do something and then return some outputs.

• Charts
  • Create line chart
  • Create vertical bar chart
  • Plot chart
• DynamicObjects
  • Add
    • Add list of Boolean to DynamicObject
    • Add list of Float to DynamicObject
    • Add list of Image to DynamicObject
    • Add list of Integer to DynamicObject
    • Add list of NeuralNetworkLoss to DynamicObject
    • Add list of NeuralNetworkMetric to DynamicObject
    • Add list of String to DynamicObject
    • Add list of Tensor to DynamicObject
    • Add Boolean to DynamicObject
    • Add Float to DynamicObject
    • Add Image to DynamicObject
    • Add Integer to DynamicObject
    • Add NeuralNetworkLoss to DynamicObject
    • Add NeuralNetworkMetric to DynamicObject
    • Add String to DynamicObject
    • Add Tensor to DynamicObject
  • Get
    • Get Boolean from DynamicObject
    • Get Float from DynamicObject
    • Get Image from DynamicObject
    • Get Integer from DynamicObject
    • Get String from DynamicObject
    • Get Tensor from DynamicObject
    • Get list of Boolean from DynamicObject
    • Get list of Float from DynamicObject
    • Get list of Image from DynamicObject
    • Get list of Integer from DynamicObject
    • Get list of String from DynamicObject
    • Get list of Tensor from DynamicObject
• Files and formats
  • Open file
  • Read as CSV
• Lists
  • Add Boolean to list
  • Add Float to list
  • Add Image to list
  • Add Integer to list
  • Add NeuralNetworkMetric to list
  • Add String to list
  • Add Tensor to list
• Loss functions
  • Accuracy
  • Mean absolute error
• Models
  • Neural networks
    • Losses
      • Create neural network loss function
    • Metrics
      • Create neural network metric function
    • Optimizers
      • Create SGD neural network optimizer
    • Create neural network
    • Evaluate multi-IO neural network model
    • Evaluate multi-input neural network model
    • Evaluate multi-output neural network model
    • Evaluate neural network model
    • Train multi-IO neural network
    • Train multi-input neural network
    • Train multi-output neural network
    • Train neural network
  • Multi-IO predict
  • Multi-input predict
  • Multi-output predict
  • Predict
• Normalization
  • Columns to proportions
  • Scale columns to a range
  • Standard scale columns
• Parameters
  • Boolean parameter
  • Float parameter
  • Integer parameter
• Returns
  • Return float
• Statistics
  • Mean
• Tables
  • Conversions
    • List of Boolean to table
    • List of Float to table
    • List of Integer to table
    • List of String to table
  • Group and count
  • One-hot encode columns
  • Shuffle rows
  • Split into X and Y by columns
• Validation
  • K-fold cross-validation
• Variables
  • Getters
    • Get float
    • Get list of float
  • Setters
    • Set float
    • Set list of float

Note: the neural network editor has its own set of cards, available here.