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with Amilia and BigML?
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Popular Amilia and BigML Triggers#
Popular Amilia and BigML Actions#
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.
Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
Overview of Amilia#
Amilia API serves as a gateway to streamline recreation and community-based activities management. It allows developers to integrate a variety of functionalities such as account management, program registrations, and scheduling into their applications. With Pipedream, you can harness this API to automate processes, sync data across platforms, and enhance customer engagement by tying into email, SMS services, or other business tools.
Connect Amilia#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
amilia: {
type: "app",
app: "amilia",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.amilia.com/api/v3/en/keywords`,
headers: {
Authorization: `Bearer ${this.amilia.$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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