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Articles related to "api"


Ways to Evaluate Regression Models

  • The SD of predicted values helps in understanding the dispersion of values in different models.
  • In RAE and Relative RSE, you divide those differences by the variation of actual, so they have a scale from 0 to 1, and if you multiply this value by 100, you get similarity in 0–100 scale (i.e. percentage).
  • Relative Absolute Error (RAE) is a way to measure the performance of a predictive model.
  • It is very similar to the relative squared error in the sense that it is also relative to a simple predictor, which is just the average of the actual values.
  • Mean Squared Error (MSE) or Mean Squared Deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures the average of the squares of the errors — that is, the average squared difference between the estimated values and the actual value.

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Ways to Evaluate Regression Models

  • The SD of predicted values helps in understanding the dispersion of values in different models.
  • In RAE and Relative RSE, you divide those differences by the variation of actual, so they have a scale from 0 to 1, and if you multiply this value by 100, you get similarity in 0–100 scale (i.e. percentage).
  • Relative Absolute Error (RAE) is a way to measure the performance of a predictive model.
  • It is very similar to the relative squared error in the sense that it is also relative to a simple predictor, which is just the average of the actual values.
  • Mean Squared Error (MSE) or Mean Squared Deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures the average of the squares of the errors — that is, the average squared difference between the estimated values and the actual value.

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pinoceniccola/what-hn-says-webext

  • Web Extension: Easily find Hacker News discussions about the page you're browsing.
  • Dead-simple yet very useful web extension that looks for threads on popular social news aggregator Hacker News via HN Search API powered by Algolia.
  • I hacked this togheter in a few hours because I was unable to find something not bloated: This web extension fetches the API only when the popup is clicked and does not run any background script.
  • It also requires minimum permissions (just activeTab actually).
  • Get the extension for Firefox or Chrome/Chromium browsers.
  • You can also clone this repo and manually run it as an unpacked extension (but losing automatic future updates).
  • See CHANGELOG.md.

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OpenAI Text and Program Generator #GPT3

  • OpenAI’s GPT-3 is the most powerful AI language model ever.
  • GPT-2 was released in 2019.
  • GPT-3 is a big leap forward.
  • The model has 175 billion parameters (the values that a neural network tries to optimize during training), compared with GPT-2’s already vast 1.5 billion.
  • GPT3examples.com is a site that has collected applications that have built using GPT-3.
  • Reading code is hard!
  • Don't you wish you could just ask the code what it does?
  • To describe its functions, its types.
  • And maybe… how can it be improved?
  • You can request access to OpenAI API and for GPT3.
  • Access to the GPT-3 API is invitation-only or for those granted access via the form.

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How an API Management Platform can Enhance Your Data Science Projects

  • Data scientists regularly use APIs (Application Programming Interfaces) to implement advanced functionalities without having to build things from the ground up, import data from external sources, expose data for users to consume, or achieve other objectives.
  • An API management solution will give you the enhanced visibility and control you need to know what is happening with your APIs. With a single central location to manage your data science APIs, you can get rid of redundant APIs, identify performance inconsistencies, and ease the orchestration of the different moving parts of your APIs. API governance refers to the practice of establishing various policies that control the use of an API product.
  • It involves a wide range of management, administration, visibility, monitoring, and other measures that streamline and govern the adoption of APIs. As a data scientist, having an API management platform will let you outline the terms and conditions that make your APIs accessible by different personas within and outside your enterprise.

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Automate Entity Extraction of Reddit Subgroup using BERT Model

  • Named-Entity recognition (NER) is a process to extract information from an Unstructured Text.
  • We can mark these extracted entities as tags to articles/documents.
  • BERT model will extract person name, organization, and location name from the Reddit subgroup.
  • Python program connects with Reddit API and fetches information from subreddit.
  • We will extract entity information from the data prepared from the first part.
  • Reddit provides API access to fetch titles, comments, and other data related to posts.
  • The transformer python library from Hugging face will help us to access the BERT model trained by DBMDZ.
  • Reddit is a great social media platform to test the accuracy of the BERT entity extraction model.
  • This article will help you to process the output data of the BERT model and extract the entity.
  • You will learn about its use-cases and how you use these tags to categorize the text data.

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How an API Management Platform can Enhance Your Data Science Projects

  • Data scientists regularly use APIs (Application Programming Interfaces) to implement advanced functionalities without having to build things from the ground up, import data from external sources, expose data for users to consume, or achieve other objectives.
  • An API management solution will give you the enhanced visibility and control you need to know what is happening with your APIs. With a single central location to manage your data science APIs, you can get rid of redundant APIs, identify performance inconsistencies, and ease the orchestration of the different moving parts of your APIs. API governance refers to the practice of establishing various policies that control the use of an API product.
  • It involves a wide range of management, administration, visibility, monitoring, and other measures that streamline and govern the adoption of APIs. As a data scientist, having an API management platform will let you outline the terms and conditions that make your APIs accessible by different personas within and outside your enterprise.

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How an API Management Platform can Enhance Your Data Science Projects

  • Data scientists regularly use APIs (Application Programming Interfaces) to implement advanced functionalities without having to build things from the ground up, import data from external sources, expose data for users to consume, or achieve other objectives.
  • An API management solution will give you the enhanced visibility and control you need to know what is happening with your APIs. With a single central location to manage your data science APIs, you can get rid of redundant APIs, identify performance inconsistencies, and ease the orchestration of the different moving parts of your APIs. API governance refers to the practice of establishing various policies that control the use of an API product.
  • It involves a wide range of management, administration, visibility, monitoring, and other measures that streamline and govern the adoption of APIs. As a data scientist, having an API management platform will let you outline the terms and conditions that make your APIs accessible by different personas within and outside your enterprise.

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The Semver Trick

  • The semver trick refers to publishing a breaking change to a Rust library without requiring a coordinated upgrade across its downstream dependency graph.
  • By way of example, consider a simplified version of the libc crate that exposes only two things: the c_void type and the EVFILT_AIO constant from NetBSD.
  • Existing code that passes libc::EVFILT_AIO to a function accepting an argument of type int32_t would be broken, and this needs to be reflected in the semver version of the libc crate.
  • What needs to happen is first B upgrades to libc 0.3, releases this as a major version bump of B (because its public API has changed in a breaking way), and then A may upgrade to the new version of B.
  • Fundamentally the semver trick is beneficial when a crate needs to break a rarely used API while leaving widely used APIs unchanged, or when a crate wants to shuffle types around in its module hierarchy.

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PANDAS: Put Away Novice Data Analyst Status (Part-1)

  • Let’s begin, I tried to keep the general flow of data analysis like starting with reading the data and then going through different steps in the data analysis process.
  • Pandas provide different options to configure like column names or data types or the number of rows you would like to read.
  • Like CSV, Pandas provides a rich set of options for read_excel that allows you to read a particular sheet name in Excel, data types, or the number of rows to read.
  • Pandas provide different APIs which we can use to explore data.
  • The .loc API can take a list of row_labels you would like to select i.e. Note- This will not work if multiple rows have the same labels.
  • Pandas provide many different APIs which can help to perform advanced operations on the data like plotting, styling, etc.

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