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with BigML and ifthenpay?
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Popular Ways to Connect BigML with ifthenpay#
Popular BigML and ifthenpay Triggers#
Emit new event when a payment is successfully completed through Ifthenpay. See the documentation
Popular BigML and ifthenpay Actions#
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Generates a Multibanco or MB WAY payment reference with a specified amount, entity code, and deadline. See the documentation
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Issue a full or partial refund for a previously completed payment via Ifthenpay. See the documentation
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 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}`,
},
})
},
})
Connect ifthenpay#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ifthenpay: {
type: "app",
app: "ifthenpay",
}
},
async run({steps, $}) {
const data = {
"boKey": `${this.ifthenpay.$auth.backoffice_key}`,
"dateStart": `21-10-2024 00:00:00`,
"dateEnd": `30-04-2025 00:00:00`,
}
return await axios($, {
method: "post",
url: `https://api.ifthenpay.com/v2/payments/read`,
headers: {
"accept": `application/json`,
},
data,
})
},
})
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