mmerce

{
  "name": "Top n features dataset from model",
  "description": "It creates a dataset that includes the top n features as detected by a model",
  "inputs": [
      {
          "name": "model-id",
          "type": "model-id",
          "description": "Model that selects the features"
      },
      {

mmerce

{
  "name": "Model and Evaluate",
  "description": "It creates an evaluation from an 80/20% split",
  "inputs": [
      {
          "name": "dataset-id",
          "type": "dataset-id",
          "description": "Dataset to be modeled"
      }
  ],

mmerce

{
  "name": "Model and Evaluate",
  "description": "It creates an evaluation from an 80/20% split",
  "inputs": [
      {
          "name": "dataset-id",
          "type": "dataset-id",
          "description": "Dataset to be modeled"
      }
  ],

mmerce

{
"name": "1-click batch prediction from fusion",
"description": "This script creates a batch prediction from a user-given source and fusion ID",
"inputs": [
{
"default": "",
"description": "Source for inputs",
"name": "test-source",
"type": "source-id"
},

mmerce

/*
 * Creating a clean anomaly detector
 */

var bigml = require('bigml');

// Simplest anomaly detector
new bigml.Source().create('sales.csv', undefined, function(error, source) {
  new bigml.Dataset().create(source, undefined, function(error, dataset) {
    new bigml.Anomaly().create(dataset, undefined, function(error, anomaly) {

mmerce

{"name": "Move from projects to project",
 "description": "Moves the non-script resources from a list of existing projects to a single destination project",
 "inputs": [
{
"default": "",
"description": "Destination project ID",
"name": "destination",
"type": "project-id"
},
{

mmerce

bigmler --train data/diabetes_sample.csv \
        --tag best_diabetes
        --output-dir ./initial_model

mmerce

bigmler retrain --add diabetes_new_data.csv \
                --id cluster/5a186f1d92527304c200077b \
                --output-dir accumulative_cluster

mmerce

bigmler retrain --add diabetes_12.csv \
                --window-size 3 \
                --ensemble-tag best_diabetes \
                --output-dir windowed_retrain

mmerce

bigmler retrain --add diabetes_new_data.csv \
                --model-tag best_diabetes \
                --output-dir accumulative_retrain