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User can select two model and their meta is fetched from GitHub. Features, accuracy figures and speed benchmarks are displayed in a table, with an additional chart comparing the accuracy scores if available. Main use case: demonstrating and visualising trade-offs between larger and smaller models of the same type.
82 lines
3.3 KiB
Plaintext
82 lines
3.3 KiB
Plaintext
//- 💫 DOCS > MODELS > COMPARISON
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include ../_includes/_mixins
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p
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| This experimental tool helps you compare spaCy's statistical models
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| by features, accuracy and speed. This can be especially useful to get an
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| idea of the trade-offs between larger and smaller models of the same
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| type. For example, #[code lg] models tend to be more accurate than
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| the corresponding #[code sm] versions – but they're often significantly
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| larger in file size and memory usage.
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- TPL = "compare"
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+grid.o-box
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for i in [1, 2]
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+grid-col("half", "no-gutter")
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label.u-heading.u-text-label.u-text-center.u-color-theme(for="model#{i}") Model #{i}
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.o-field.o-grid.o-grid--vcenter.u-padding-small
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select.o-field__select.u-text-small(id="model#{i}" data-tpl=TPL data-tpl-key="model#{i}")
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option(selected="" disabled="" value="") Select model...
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for models, _ in MODELS
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for model in models
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option(value=model)=model
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div(data-tpl=TPL data-tpl-key="error" style="display: none")
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+infobox
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| Unable to load model details and accuracy figures from GitHub to
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| compare the models. For details of the individual models, see the
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| overview of the
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| #[+a(gh("spacy-models") + "/releases") latest model releases].
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div(data-tpl=TPL data-tpl-key="result")
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+chart("compare_accuracy", 350)
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+aside-code("Download", "text")(style="display: none")
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for i in [1, 2]
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span(data-tpl=TPL data-tpl-key="download#{i}")
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+table.o-block-small(data-tpl=TPL data-tpl-key="table")
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+row("head")
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+head-cell
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for i in [1, 2]
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+head-cell(style="width: 40%")
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a(data-tpl=TPL data-tpl-key="link#{i}")
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code(data-tpl=TPL data-tpl-key="table-head#{i}" style="text-transform: initial; font-weight: normal")
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for label, id in {lang: "Language", type: "Type", genre: "Genre"}
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+row
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+cell #[+label=label]
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for i in [1, 2]
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+cell(data-tpl=TPL data-tpl-key="#{id}#{i}") n/a
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for label in ["Version", "Size", "Pipeline", "Vectors", "Sources", "Author", "License"]
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- var field = label.toLowerCase()
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+row
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+cell.u-nowrap
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+label=label
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if MODEL_META[field]
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| #[+help(MODEL_META[field]).u-color-subtle]
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for i in [1, 2]
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+cell
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span(data-tpl=TPL data-tpl-key=field + i) #[em n/a]
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+row
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+cell #[+label Description]
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for i in [1, 2]
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+cell.u-text-tiny(data-tpl=TPL data-tpl-key="desc#{i}") n/a
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for benchmark, _ in MODEL_BENCHMARKS
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- var counter = 0
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for label, field in benchmark
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+row((counter == 0) ? "divider" : null)
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+cell.u-nowrap
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+label=label
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if MODEL_META[field]
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| #[+help(MODEL_META[field]).u-color-subtle]
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for i in [1, 2]
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+cell
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span(data-tpl=TPL data-tpl-key=field + i) n/a
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- counter++
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