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with BigML and Zamzar?
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Popular Ways to Connect BigML with Zamzar#
Popular BigML and Zamzar Triggers#
Emit new event when a conversion job has completed. See the documentation
Emit new event when a file has been converted successfully. See the documentation
Emit new event as soon as a conversion job has been completed. See the documentation
Popular BigML and Zamzar Actions#
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Creates a file from the provided content. See the documentation
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.
Finds the file that has been processed under the specified job id. See the documentation
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}`,
},
})
},
})
Overview of Zamzar#
The Zamzar API on Pipedream provides powerful file conversion capabilities, allowing you to easily automate the process of converting files between different formats. With Pipedream's serverless platform, you can set up workflows that trigger conversions, handle the completed files, and integrate with other services for a seamless automation experience. From document conversion for data analysis to prepping media files for different platforms, Zamzar's API coupled with Pipedream's robust functionality opens up a world of possibilities for streamlining tasks.
Connect Zamzar#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zamzar: {
type: "app",
app: "zamzar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.zamzar.com/v1/account`,
auth: {
username: `${this.zamzar.$auth.api_key}`,
password: ``,
},
})
},
})
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