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Update v2 docs and model info

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Take out speed tables until we fix our benchmark tests on CPU and GPU
This commit is contained in:
ines 2017-11-08 11:43:00 +01:00
parent 3a0f34d567
commit 94cd3d51db
5 changed files with 31 additions and 18 deletions
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2
website/_harp.json
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@ -83,7 +83,7 @@
], ],
"V_CSS": "2.0.0", "V_CSS": "2.0.0",
"V_JS": "2.0.0", "V_JS": "2.0.1",
"DEFAULT_SYNTAX": "python", "DEFAULT_SYNTAX": "python",
"ANALYTICS": "UA-58931649-1", "ANALYTICS": "UA-58931649-1",
"MAILCHIMP": { "MAILCHIMP": {

2
website/assets/js/models.js
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@ -141,7 +141,6 @@ export class ModelLoader {
if (!accuracy && !speed) return; if (!accuracy && !speed) return;
this.renderTable(tpl, 'parser', accuracy, val => val.toFixed(2)); this.renderTable(tpl, 'parser', accuracy, val => val.toFixed(2));
this.renderTable(tpl, 'ner', accuracy, val => val.toFixed(2)); this.renderTable(tpl, 'ner', accuracy, val => val.toFixed(2));
this.renderTable(tpl, 'speed', speed, Math.round);
tpl.get('benchmarks').hidden = false; tpl.get('benchmarks').hidden = false;
} }
@ -327,7 +326,6 @@ export class ModelComparer {
const allKeys = [].concat(...Object.entries(this.benchKeys).map(([_, v]) => Object.keys(v))); const allKeys = [].concat(...Object.entries(this.benchKeys).map(([_, v]) => Object.keys(v)));
for (let key of allKeys) { for (let key of allKeys) {
if (accuracy[key]) this.tpl.fill(`${key}${i}`, accuracy[key].toFixed(2)) if (accuracy[key]) this.tpl.fill(`${key}${i}`, accuracy[key].toFixed(2))
else if (speed[key]) this.tpl.fill(`${key}${i}`, convertNumber(Math.round(speed[key])))
else this.tpl.fill(`${key}${i}`, 'n/a') else this.tpl.fill(`${key}${i}`, 'n/a')
} }
} }

5
website/models/_data.json
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@ -40,7 +40,7 @@
}, },
"MODELS": { "MODELS": {
"en": ["en_core_web_sm", "en_core_web_lg", "en_vectors_web_lg"], "en": ["en_core_web_sm", "en_core_web_md", "en_core_web_lg", "en_vectors_web_lg"],
"de": ["de_core_news_sm"], "de": ["de_core_news_sm"],
"es": ["es_core_news_sm", "es_core_news_md"], "es": ["es_core_news_sm", "es_core_news_md"],
"pt": ["pt_core_news_sm"], "pt": ["pt_core_news_sm"],
@ -86,8 +86,7 @@
"MODEL_BENCHMARKS": { "MODEL_BENCHMARKS": {
"parser": { "uas": "UAS", "las": "LAS", "tags_acc": "POS" }, "parser": { "uas": "UAS", "las": "LAS", "tags_acc": "POS" },
"ner": { "ents_f": "NER F", "ents_p": "NER P", "ents_r": "NER R" }, "ner": { "ents_f": "NER F", "ents_p": "NER P", "ents_r": "NER R" }
"speed": { "nwords": "Words", "cpu": "w/s CPU", "gpu": "w/s GPU" }
}, },
"LANGUAGES": { "LANGUAGES": {

34
website/usage/_facts-figures/_benchmarks-models.jade
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@ -19,18 +19,28 @@ p
+table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"]) +table(["Model", "spaCy", "Type", "UAS", "NER F", "POS", "WPS", "Size"])
+row +row
+cell #[+a("/models/en#en_core_web_sm") #[code en_core_web_sm]] 2.0.0 +cell #[+a("/models/en#en_core_web_sm") #[code en_core_web_sm]] 2.0.0
each data in ["2.x", "neural"] +cell("num") 2.x
+cell("num")=data +cell neural
+cell("num") 91.7 +cell("num") 91.7
+cell("num") 85.3 +cell("num") 85.3
+cell("num") 97.0 +cell("num") 97.0
+cell("num") 10.1k +cell("num") 10.1k
+cell("num") #[strong 35MB] +cell("num") #[strong 35MB]
+row
+cell #[+a("/models/en#en_core_web_md") #[code en_core_web_md]] 2.0.0
+cell("num") 2.x
+cell neural
+cell("num") 91.7
+cell("num") #[strong 85.9]
+cell("num") 97.1
+cell("num") 10.0k
+cell("num") 115MB
+row +row
+cell #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] 2.0.0 +cell #[+a("/models/en#en_core_web_lg") #[code en_core_web_lg]] 2.0.0
each data in ["2.x", "neural"] +cell("num") 2.x
+cell("num")=data +cell neural
+cell("num") #[strong 91.9] +cell("num") #[strong 91.9]
+cell("num") #[strong 85.9] +cell("num") #[strong 85.9]
+cell("num") #[strong 97.2] +cell("num") #[strong 97.2]
@ -39,15 +49,23 @@ p
+row("divider") +row("divider")
+cell #[code en_core_web_sm] 1.2.0 +cell #[code en_core_web_sm] 1.2.0
each data in ["1.x", "linear", 86.6, 78.5, 96.6] +cell("num") 1.x
+cell("num")=data +cell linear
+cell("num") 86.6
+cell("num") 78.5
+cell("num") 96.6
+cell("num") #[strong 25.7k] +cell("num") #[strong 25.7k]
+cell("num") 50MB +cell("num") 50MB
+row +row
+cell #[code en_core_web_md] 1.2.1 +cell #[code en_core_web_md] 1.2.1
each data in ["1.x", "linear", 90.6, 81.4, 96.7, "18.8k", "1GB"] +cell("num") 1.x
+cell("num")=data +cell linear
+cell("num") 90.6
+cell("num") 81.4
+cell("num") 96.7
+cell("num") 18.8k
+cell("num") 1GB
+h(4, "benchmarks-models-spanish") Spanish +h(4, "benchmarks-models-spanish") Spanish

6
website/usage/_install/_instructions.jade
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@ -31,10 +31,8 @@ p
+badge("https://anaconda.org/conda-forge/spacy/badges/version.svg", "https://anaconda.org/conda-forge/spacy") +badge("https://anaconda.org/conda-forge/spacy/badges/version.svg", "https://anaconda.org/conda-forge/spacy")
+infobox("Important note", "⚠️") +infobox("Important note", "⚠️")
| We're still waiting for spaCy v2.0 to | We're still waiting for spaCy v2.0 to go live on #[code conda-forge],
| #[+a("https://github.com/conda-forge/spacy-feedstock/pulls") go live] | as there's currently a backlog of OSX builds on Travis.
| on #[code conda-forge], as there's currently a significant
| #[+a("https://www.traviscistatus.com/") backlog] of OSX builds on Travis.
| In the meantime, you can already try out the new version using pip. The | In the meantime, you can already try out the new version using pip. The
| conda download will follow as soon as possible. | conda download will follow as soon as possible.