Daniel Duckworth danielduckworth

Hierarchical evaluation measure

Python implementaion of HAM as deseibed in Functional Annotation of Genes Using Hierarchical Text Categorization

Functional Annotation of Genes Using Hierarchical Text Categorization

3.3 Hierarchical evaluation measure

Most researchers evaluate hierarchical classification systems based on standard “flat” measures: accuracy/error and precision/recall. However, these measures are not suitable for hierarchical categorization since they do not differentiate among different kinds of misclassification errors. A widely-used hierarchical measure based on the notion of distance overcomes this problem. However, it has some drawbacks. First, it is not easily extendable to DAG hierarchies (where multiple paths between two categories can exist) and multi-label tasks. Second, it does not change with depth. Misclassification into a sibling category of a top

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Chromadb Javascript API Cheatsheet

💡 NOTE This is a quick cheatsheet of the API. For full API docs, refer to the JS and Python docs in the sidebar.

Run the backend

Run chroma run --path /db_path to run the Chroma backend as a standalone server on your local computer.

Conda Pack n' Move

[WIP]

This shell script is used to transfer a Conda environment from one machine to another using rsync and SSH. It first checks if the correct number of arguments is provided, then installs conda-pack if it is not already installed. It then activates the specified Conda environment, packs it, transfers the tar file to the new directory using rsync, unpacks the environment via SSH on the remote machine, updates the .zshrc file, and reloads the shell.

Usage:

Copy the file to ~/bin with cp condapack_n_move.sh ~/bin/condapack_n_move
Make it executable with chmod +x ~/bin/condapack_n_move

<title>example table</title>

	---
	response:
	apps:
	- appid: 228980
	app: Steamworks Common Redistributables
	app_type: tool
	available_on_platform: true
	- appid: 250820
	app: SteamVR
	app_type: tool

	{
	"$schema": "http://json-schema.org/draft-07/schema#",
	"title": "Vega Visualization Specification Language",
	"definitions": {
	"autosize": {
	"oneOf": [
	{
	"enum": ["pad", "fit", "fit-x", "fit-y", "none"],
	"default": "pad"
	},

	"use client";

	import { FieldValues, UseFormProps, UseFormReturn } from "react-hook-form";
	import { ApiCollections } from "../../../@types/api";

	export const DirectusInput = (props: {
	element: ApiCollections["form_components"];
	hookForm: UseFormReturn<FieldValues, any>;
	}) => {
	const { element, hookForm } = props;

	<script setup lang="ts">
	import { useTheme } from 'vuetify'
	import { vuetifyThemeFromImage } from '@/plugins/vuetifyM3ThemeGenerator'

	const theme = useTheme()
	async function onImageLoad (e: Event) {
	const target = e.target as HTMLImageElement
	const darkTheme = await vuetifyThemeFromImage(target, true)
	const lightTheme = await vuetifyThemeFromImage(target, false)
	theme.themes.value.dark.colors = darkTheme.colors

	wget https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda_12.0.0_525.60.13_linux.run
	bash cuda_12.0.0_525.60.13_linux.run --no-drm --no-man-page --override --toolkitpath=~/local/cuda-12.0/ --toolkit --silent
	echo "export LD_LIBRARY_PATH=\$LD_LIBRARY_PATH:~/local/cuda-12.0/lib64" >> ~/.bashrc
	echo "export PATH=\$PATH:~/local/cuda-12.0/bin" >> ~/.bashrc
	source ~/.bashrc