Quickstart
Get up and running with the Akkio API using one of our convenient libraries.
Last updated
Was this helpful?
Get up and running with the Akkio API using one of our convenient libraries.
Last updated
Was this helpful?
Was this helpful?
const akkio = require('akkio')('your API key');
#get your API key at https://app.akkio.com/team-settings
(async () => {
#create a new dataset
let newDataset = await akkio.createDataset('my new dataset');
#populate it with some toy data
let rows = [];
for (var i = 0; i < 1000; i++) {
okay let x = Math.random();
rows.push({
'x': x,
'value larger than 0.5': x > 0.5,
});
}
await akkio.addRowsToDataset(newDataset.dataset_id, rows);
# train a model
let model = await akkio.createModel(newDataset.dataset_id, ['value larger than 0.5'], [], {
duration: 1
});
## field importance
for (let field in model.field_importance) {
console.log('field:', field, 'importance:', model.field_importance[field]);
}
# model stats
for (let field of model.stats) {
for (let outcome of field) {
console.log(outcome);
}
}
# use the trained model to make predictions
let predictions = await akkio.makePrediction(model.model_id, [{
'x': 0.25
}, {
'x': 0.75
}], {
explain: true
});
console.log(predictions);
})();import akkio
akkio.api_key = 'YOUR-API-KEY-HERE'
# get your API key at https://app.akkio.com/team-settings
models = akkio.get_models()['models']
for model in models:
print(model)
datasets = akkio.get_datasets()['datasets']
for dataset in datasets:
print(dataset)
new_dataset = akkio.create_dataset('python api test')
print(new_dataset)
# create a toy dataset
import random
rows = []
for i in range(1000):
rows.append({
'x': random.random()
})
rows[-1]['y'] = rows[-1]['x'] > 0.5
akkio.add_rows_to_dataset(new_dataset['dataset_id'], rows)
new_model = akkio.create_model(new_dataset['dataset_id'], ['y'], [], {'duration': 1})
print(new_model)
prediction = akkio.make_prediction(new_model['model_id'], [{'x': 0.1}, {'x':0.7}], explain=True)
print(prediction)