What do you want to automate
with Asters and BigML?
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Popular Asters and BigML Triggers#
Emit new event when a label is added to a post. See the documentation
Popular Asters and BigML Actions#
Retrieve the list of all labels of a specific workspace. See the documentation
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Retrieve the list of posts' analytics of a social account. See the documentation
Connect Asters#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
asters: {
type: "app",
app: "asters",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.asters.ai/api/external/v1.0/workspaces`,
headers: {
"x-api-key": `${this.asters.$auth.api_key}`,
},
})
},
})
Overview of BigML#
The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.
Connect BigML#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigml: {
type: "app",
app: "bigml",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bigml.io/andromeda/source`,
params: {
username: `${this.bigml.$auth.username}`,
api_key: `${this.bigml.$auth.api_key}`,
},
})
},
})
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