[B! visualization] teddy-gã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

teddy-g id:teddy-g

visualizationã«é–¢ã™ã‚‹teddy-gã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (10)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

ä»Šæ—¥ã®è«–æ–‡2023/05/11, 12ï¼šAttentionViz: A Global View of Transformer Attention - izmyonã®æ—¥è¨˜
AttentionViz: A Global View of Transf ormer Attention arxiv.org Yeh, Catherine, Yida Chen, Aoyu Wu, Cynthia Chen, Fernanda ViÃ©gas, and Martin Wattenberg. "AttentionViz: A Global View of Transf ormer Attention." arXiv preprint arXiv:2305.03210 (2023). Â©2023 The Authors License: Creative Commons Attribution 4.0 International License(CC-BY) æœ¬è¨˜äº‹ã¯ã€åŽŸè‘—ã®å†…å®¹ã«åŸºã¥ãç†è€…ãŒè¦ç´„ã¾ãŸã¯ç¿»è¨³ã—ãŸã‚‚ã®ã§ã™ã€‚ä»¥ä¸‹ã®å›³ã¯ã€ãã“ã‹ã‚‰å¼•ç”¨ã—ã¦ã„ã¾ã™ã€‚ This article
teddy-g 2024/10/07
AttentionVizã®æ—¥æœ¬èªžè§£èª¬ã€‚ã¡ã‚‡ã£ã¨ç‰©è¶³ã‚Šãªã„ã€‚å‚™å¿˜ã€‚

generativeAI

attention

visualization

TDA

topology
ãƒªãƒ³ã‚¯
ChatGPTãªã©ã®å¯¾è©±åž‹AIã®åŸºç¤Žã¨ãªã£ã¦ã„ã‚‹ã€ŒAttentionã€ã‚’å¯è¦–åŒ–ã—ãŸã€ŒAttention Vizã€
ChatGPTã‚„Bing Chatã®èƒŒæ™¯ã«ã‚ã‚‹å¤§è¦æ¨¡è¨€èªžãƒ¢ãƒ‡ãƒ«ã®å¤šãã¯ã€GoogleãŒé–‹ç™ºã—ãŸãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ãƒ¼ã®ã€ŒTransf ormerã€ã‚’æŽ¡ç”¨ã—ã¦ã„ã¾ã™ã€‚ã“ã®Transf ormerã®éµã«ãªã‚‹ã®ãŒã€ŒSelf-Attentionã€ã¨ã„ã†ã‚·ã‚¹ãƒ†ãƒ ã§ã™ã€‚ã“ã®Self-Attentionã‚’è¦–è¦šåŒ–ã™ã‚‹ãŸã‚ã®ãƒ„ãƒ¼ãƒ«ã€ŒAttention Vizã€ã‚’ã€ãƒãƒ¼ãƒãƒ¼ãƒ‰å¤§å¦ã¨Googleã®å…±åŒç ”ç©¶ãƒãƒ¼ãƒ ãŒç™ºè¡¨ã—ã¾ã—ãŸã€‚ AttentionViz Docs https://catherinesyeh.github.io/attn-docs/ Transf ormerãŒã©ã†ã„ã†ä»•çµ„ã¿ã®ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ãªã®ã‹ã«ã¤ã„ã¦ã¯ã€ä»¥ä¸‹ã®è¨˜äº‹ã‚’èªã‚€ã¨ã‚ˆãã‚ã‹ã‚Šã¾ã™ã€‚ ChatGPTã«ã‚‚ä½¿ã‚ã‚Œã‚‹æ©Ÿæ¢°å¦ç¿’ãƒ¢ãƒ‡ãƒ«ã€ŒTransf ormerã€ãŒè‡ªç„¶ãªæ–‡ç« ã‚’ç”Ÿæˆã™ã‚‹ä»•çµ„ã¿ã¨ã¯ï¼Ÿ - GIGAZINE è‡ªç„¶è¨€èªžå‡¦ç†ã‚’ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©
teddy-g 2024/10/07
Attentionã‚’t-SNEï¼ˆã ã£ã‘ãªï¼Ÿï¼‰ã§å¯è¦–åŒ–ã—ãŸã‚‚ã®ã€‚æ‰‹æ³•ã‚‚è€ƒãˆæ–¹ã‚‚TDAçš„ã€‚

generativeAI

attension

visualization
ãƒªãƒ³ã‚¯
adjustText: matplotlib ã®æ•£å¸ƒå›³ã§ãƒ©ãƒ™ãƒ«ã®é‡ãªã‚Šã‚’è‡ªå‹•èª¿æ•´ - Wizard Notes
å•é¡Œç‚¹ matplotlib ã®æ•£å¸ƒå›³ãªã©ã®ãƒ—ãƒãƒƒãƒˆã®éš›ã«ã€å„ç‚¹ã«ãƒ©ãƒ™ãƒ«ã‚’ä»˜ã‘ã¦ãƒ—ãƒãƒƒãƒˆã—ãŸã„å ´åˆã€ä¸‹ã®å›³ã®ã‚ˆã†ã«ãƒ©ãƒ™ãƒ«ãŒé‡ãªã£ã¦ã—ã¾ã†ãŸã‚ã€ãƒ©ãƒ™ãƒ«ä»˜ããƒ—ãƒãƒƒãƒˆã‚’è«¦ã‚ã‚‹ã“ã¨ãŒå¤šã€…ã‚ã‚Šã¾ã—ãŸã€‚ å›³1: æ•£å¸ƒå›³ (Before) è§£æ±ºæ–¹æ³• ãƒ©ãƒ™ãƒ«ã®é…ç½®ã‚’åˆ¶å¾¡ã™ã‚‹æ–¹æ³•ã‚’æŽ¢ã—ã¦ã„ãŸã‚‰ã€adjustTextã¨ã„ã†ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã¨å‡ºä¼šã„ã¾ã—ãŸã€‚ github.com ãªã‚“ã¨ãƒ©ãƒ™ãƒ«ã®é‡ãªã‚Šã‚’æœ€å°é™ã«ã—ã€ã‚¹ãƒžãƒ¼ãƒˆã«é…ç½®ã—ã¦ãã‚Œã‚‹ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã¨ã®ã“ã¨ã€‚æ—©é€Ÿä½¿ã£ã¦ã¿ã¾ã—ãŸã€‚ å›³2: adjustTextã¨é©ç”¨ã—ãŸæ•£å¸ƒå›³ï¼ˆã‚¢ãƒãƒ¼ç„¡ã—ï¼‰ é‡ãªã‚ŠãŒæœ€å°é™ã«ãªã‚Šã€ã‹ãªã‚Šè¦‹ã‚„ã™ããªã‚Šã¾ã—ãŸï¼ ã•ã‚‰ã«ã€ã‚¢ãƒãƒ¼ã‚’ä»˜ã‘ã‚‹ã“ã¨ã‚‚ã§ãã¾ã™ã€‚ å›³3: adjustTextã¨é©ç”¨ã—ãŸæ•£å¸ƒå›³ï¼ˆã‚¢ãƒãƒ¼ä»˜ã ã•ã™ãŒã«ãƒ—ãƒãƒƒãƒˆã™ã‚‹ç‚¹æ•°ãŒæ•°ç™¾ç‚¹ã¨ã‚‚ãªã‚‹ã¨å‡¦ç†ã«æ™‚é–“ãŒã‹ã‹ã‚‹ï¼†æœ€é©åŒ–ã—ã¦ã‚‚é‡ãªã£ã¦ã—ã¾ã†ãŸã‚ã€50Â±30ç‚¹ãã‚‰ã„ã®æ™‚ã«ä½¿ã†ã®ãŒè‰¯ã•ãã†ã§ã™
teddy-g 2021/02/07
æ•£å¸ƒå›³ã§ãƒ©ãƒ™ãƒ«ãŒé‡ãªã£ã¦å›°ã‚‹ã¨ãã¯adjustTextä½¿ãˆã°è‰¯ã—ã€‚ã¨ã¯ã„ãˆã€ãƒ©ãƒ™ãƒ«ã®æ–‡å—æ•°ãŒå¤šã™ãŽã‚‹ã¨ã‹ã©ã†ã«ã‚‚ãªã‚‰ãªã„ã¨ã“ã‚ã¯ã©ã†ã«ã‚‚ãªã‚‰ãªã„ã€‚

python

matplotlib

graph

visualization
ãƒªãƒ³ã‚¯
Python matplotlib æ™‚ç³»åˆ—ã‚°ãƒ©ãƒ•ï¼ˆæ™‚é–“è»¸ã®è¨å®šï¼‰ - Qiita
ã¯ã˜ã‚ã« å¹´æœ«ã‚ˆã‚Šãšã£ã¨å¿™ã—ã‹ã£ãŸã®ã§ã™ãŒã€ä¹…ã—ã¶ã‚Šã«ä½™è£•ãŒã§ãã¦è¨˜äº‹ã‚’æ›¸ã„ã¦ã„ã¾ã™ã€‚ ä½•å¹´ã‹å‰ã«ã‚„ã£ãŸä»•äº‹ã®ãƒ•ã‚©ãƒãƒ¼ã®ãŸã‚äºŒé€±é–“ã®å‡ºå¼µã§ãƒžãƒ¬ãƒ¼ã‚·ã‚¢ã«æ¥ã¦ã„ã¾ã™ã€‚ãŠå®¢ã•ã‚“ã«æå‡ºã™ã‚‹å ±å‘Šæ›¸ã§ä¹…ã—ã¶ã‚Šã«æ™‚ç³»åˆ—ã‚°ãƒ©ãƒ•ã‚’ä½œæˆã™ã‚‹å¿…è¦ãŒã‚ã£ãŸã®ã§ã€ãã®æ™‚èª¿ã¹ãŸã‚‚ã®ã‚’ã‚¢ãƒƒãƒ—ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ï¼ˆå®Ÿã¯ãŠå®¢ã•ã‚“æå‡ºç”¨ã‚°ãƒ©ãƒ•ã®æ™‚é–“è»¸ã¯ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆã§å‡ºã—ã¦ã—ã¾ã£ãŸã®ã§ã™ãŒã€æå‡ºå¾Œä»Šå¾Œã®ãŸã‚ã«èª¿ã¹ãŸã‚‚ã®ã‚’ã‚¢ãƒƒãƒ—ã—ã¦ã„ã‚‹ã®ãŒæœ¬å½“ã®ã¨ã“ã‚ã§ã™ï¼‰ å½“æ–¹ã®ç’°å¢ƒã¯ä»¥ä¸‹ã®é€šã‚Šã€‚ MacBook Pro (Retina, 13-inch, Mid 2014) macOS MOjave Python 3.7.2 æ™‚é–“è»¸è¨å®šã«ã¯ä»¥ä¸‹ã®ã‚µã‚¤ãƒˆã‚’å‚è€ƒã«ã—ã¾ã—ãŸã€‚ https://stackoverflow.com/questions/17452179/not-write-out-all-dates-on-an-axis-matplotl
teddy-g 2021/01/12
Pythonã§æ™‚ç³»åˆ—ã‚°ãƒ©ãƒ•æ›¸ãã¨ãã®è»¸ã®ç›®ç››ã‚Šè¨å®šã¨ã‹ã€‚

python

pandas

matplotlib

graph

visualization
ãƒªãƒ³ã‚¯
Pythonã¨Plotlyã§ã‚ªãƒ¼ãƒ—ãƒ³ãƒ‡ãƒ¼ã‚¿ã‚’å¯è¦–åŒ–ã™ã‚‹ - Pythonã¨æœ¬ã¨åä¾›ã¨é›‘è«‡ã¨
teddy-g 2020/10/08
Plotlyã¨Mapboxã§ãƒ‡ãƒ¼ã‚¿ã‚’åœ°å›³ä¸Šã«å¯è¦–åŒ–ã™ã‚‹ã‚µãƒ³ãƒ—ãƒ«çš„ãªè©±ã€‚ã‚ã¾ã‚Šå‚è€ƒã«ãªã‚‰ãªã„ãŒæ—¥æœ¬èªžã§ã‚µãƒ³ãƒ—ãƒ«èª¬æ˜Žã—ã¦ã„ã‚‹ä¾‹ãŒã‚ã¾ã‚Šãªã„ã®ã§å‚™å¿˜ã¾ã§ã€‚

python

python3

plotly

mapbox

map

visualization

bigdata

datascience
ãƒªãƒ³ã‚¯
Plotly
plotly.js abstracts the types of statistical and scientific charts that you would find in packages like matplotlib, ggplot2, or MATLAB. d3.json('https://plotly.com/~DanielCarrera/13.json', function(figure){ var trace = { x: figure.data[0].x, y: figure.data[0].y, z: figure.data[0].z, type: 'contour', autocolorscale: false, colorscale: [[0,"rgb( 0, 0, 0)"],[0.3,"rgb(230, 0, 0)"],[0.6,"rgb(255,210, 0
teddy-g 2017/10/15
ãƒ–ãƒ©ã‚¦ã‚¶ã§å„ç¨®ã‚°ãƒ©ãƒ•è¡¨ç¤ºã‚’ã™ã‚‹JSãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚ä»•äº‹ã§çŸ¥ã‚‹å¿…è¦ã‚ã£ã¦èª¿ã¹ãŸã‚“ã ãŒã€å€‹äººçš„ã«ã‚‚ã¡ã‚‡ã£ã¨ä½¿ã£ã¦ã¿ãŸã„ã€‚

javascript

visualization

graph

analytics

bigdata
ãƒªãƒ³ã‚¯
ãƒ¢ãƒ‡ãƒ«ã®ç²¾åº¦è©•ä¾¡ï¼ˆåˆ†é¡žå•é¡Œï¼‰ - Tech Blog
åˆ†é¡žå•é¡Œã®ç²¾åº¦è©•ä¾¡ã«ã¤ã„ã¦ã¾ã¨ã‚ã¦ãŠãã¾ã™ã€‚ ä»£è¡¨çš„ãªè©•ä¾¡æŒ‡æ¨™ã«ã¯ã©ã®ã‚ˆã†ãªã‚‚ã®ãŒã‚ã‚‹ã®ã‹ã€ãã®ä¸ã§ã©ã‚Œã‚’ä½¿ãˆã°ã„ã„ã®ã‹ã€å›žå¸°åˆ†æžã®ç²¾åº¦ã¯ä½¿ãˆã‚‹ã‹ã€ã«ã¤ã„ã¦é †ã«æ›¸ã„ã¦ã„ãã¾ã™ã€‚ ä»Šå›žã¯ã€ä¸‹è¨˜ã®æ··åˆè¡Œåˆ—ã§è¡¨ã•ã‚Œã‚‹ã‚ˆã†ãªç–¾ç—…æ¤œæŸ»ã‚’ä¾‹ã«ã¨ã£ã¦èª¬æ˜Žã—ã¾ã™ã€‚é™½æ€§ãƒ»é™°æ€§ã¯äºˆæ¸¬ã‚¯ãƒ©ã‚¹ã€ç–¾ç—…ã‚ã‚Šãƒ»ç–¾ç—…ãªã—ã¯æ£è§£ã‚¯ãƒ©ã‚¹ã§ã™ã€‚ ç–¾ç—…ã‚ã‚Š ç–¾ç—…ãªã— é™½æ€§ é™°æ€§ è©•ä¾¡æŒ‡æ¨™ã«ã¯ä½•ã‹ã‚ã‚‹ã‹ï¼Ÿ ä¸€èˆ¬çš„ã«ã‚ˆãä½¿ã‚ã‚Œã‚‹è©•ä¾¡æŒ‡æ¨™ã«ã€Precision, Recall, Specificity, F-measure, Accuracy, AUCãŒã‚ã‚‹ã€‚ 1. Precision é™½æ€§ã¨åˆ¤å®šã•ã‚ŒãŸäººã®ã†ã¡ã€å®Ÿéš›ã«ç–¾ç—…ãŒã‚ã‚‹äººã®å‰²åˆã€‚ Precision(ç²¾åº¦ã€é©åˆçŽ‡), Positive Predictive Value(é™½æ€§äºˆæ¸¬å€¤)ã¨å‘¼ã°ã‚Œã‚‹ã€‚ 2. Recall å®Ÿéš›ã«ç–¾ç—…ãŒã‚ã‚‹äººã®ã†ã¡ã€é™½æ€§ã¨åˆ¤å®šã•ã‚Œã‚‹äººã®å‰²åˆã€‚ Reca
teddy-g 2016/04/10
æ··åŒè¡Œåˆ—ã®ç°¡æ˜“çºã‚ã€‚æ¨ªãŒç”ãˆã§ã€ç¸¦ãŒäºˆæ¸¬ãªã®ã§é–“é•ãˆãªã„ã‚ˆã†ã€‚ã“ã®è¾ºã€è§£èª¬è¨˜äº‹ã ã¨è¡¨ç¾ãŒé›£ã—ã„ã€‚

machinelearning

supervised

visualization
ãƒªãƒ³ã‚¯
Confusion matrix - Wikipedia
In the field of machine learning and specifically the probl em of statistical classification, a confusion matrix, also known as error matrix,[1] is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one; in unsupervised learning it is usually called a matching matrix. Each row of the matrix represents the instances in an actual clas
teddy-g 2016/04/10
æ··åŒè¡Œåˆ—ã®èª¬æ˜Žã¨ãã‚Œã‚’ã©ã†è©•ä¾¡ã™ã‚‹ã‹ã®å„ç¨®æŒ‡æ¨™ã€‚è‹±èªžç‰ˆWikipediaãŒä¸€ç•ªè©³ã—ã„ã€‚

machinelearning

supervised

visualization

classification
ãƒªãƒ³ã‚¯
æ”¹è¨‚ç‰ˆ: ãƒ—ãƒã‚°ãƒ©ãƒžãƒ¼ãŒåŠ¹æžœçš„ãªå¯è¦–åŒ–ã‚’ä½œæˆã™ã‚‹ ï¼ˆå‰ç·¨ï¼‰ - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? æ”¹è¨‚ç‰ˆã«ã¤ã„ã¦ã€€(5/7/2019å…¬é–‹) ã“ã®è¨˜äº‹ã¯ã€ç§ãŒã“ã¡ã‚‰ã«å…¬é–‹ã—ãŸã‚‚ã®ä¸ã§ã¯æœ€ã‚‚èªã¾ã‚Œã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ãã“ã§ã€åŸ·ç†å¾Œã«æ°—ã¥ã„ãŸã“ã¨ã€å¤ããªã£ãŸæƒ…å ±ã€æ–°ã—ã„æŠ€è¡“å‹•å‘ãªã©ã‚’è€ƒæ…®ã«å…¥ã‚Œã¦æ”¹è¨‚ã‚’ã—ã¾ã—ãŸã€‚ä¸»ãªå¤‰æ›´ç‚¹ã¯ä»¥ä¸‹ã®é€šã‚Šã§ã™ï¼š æ–°ã—ã„ã‚»ã‚¯ã‚·ãƒ§ãƒ³ã®è¿½åŠ æœ€è¿‘ã®æœ¬ã®ç´¹ä»‹ ç´°ã‹ãªè¡¨ç¾ã®ä¿®æ£ ã“ã®è¨˜äº‹ã¯è¤‡æ•°ã®ã‚»ã‚¯ã‚·ãƒ§ãƒ³ã«åˆ†ã‹ã‚Œã¦ã„ã¾ã™ã®ã§ã€å‰ç·¨ã‹ã‚‰å§‹ã‚ã€é †ç•ªã«ã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆã—ã¦è¡ŒããŸã„ã¨æ€ã„ã¾ã™ã€‚ä½•ã‹ãŠæ°—ä»˜ãã®ç‚¹ãªã©ã‚ã‚Šã¾ã—ãŸã‚‰ã€ã‚³ãƒ¡ãƒ³ãƒˆæ¬„ã€ã‚‚ã—ãã¯konoã‚¢ãƒƒãƒˆãƒžãƒ¼ã‚¯ucsd.eduã«ãŠé¡˜ã„ã„ãŸã—ã¾ã™ã€‚ ã¯ã˜ã‚ã« ã“ã®è¨˜äº‹ã¯ã€å¯è¦–åŒ–ã®å°‚é–€
teddy-g 2014/08/26
ã†ã†ã‚€ã€å‚è€ƒã«ãªã‚‹ã‚ˆã†ãªãªã‚‰ãªã„ã‚ˆã†ãªã€‚

programming

tips

hacks

visualization
ãƒªãƒ³ã‚¯
Demos - JavaScript InfoVis Toolkit
Create Interactive Data Visualizations for the Web Home â— Download â— Builder â— Donate
teddy-g 2014/02/04
Javascriptã§ã“ã“ã¾ã§Visualizeã§ãã‚‹ã£ã¦ã™ã”ã„ã€‚å¯ºç”Ÿã¾ã‚Œãã‚‰ã„ã™ã”ã„ã€‚

javascript

graphic

visualization

graph
ãƒªãƒ³ã‚¯
1