UNPKG

@webwriter/neural-network

Version:

Deep learning visualization for feed-forward networks with custom datasets, training and prediction.

50 lines (40 loc) 1.53 kB
import { LitElementWw } from '@webwriter/lit' import { CSSResult, TemplateResult, html } from 'lit' import { customElement, property } from 'lit/decorators.js' import { consume } from '@lit/context' import { globalStyles } from '@/global_styles' import type { DataSet } from '@/types/data_set' import { dataSetContext } from '@/contexts/data_set_context' import type { CNeuron } from '@/components/network/neuron' import { FeatureDesc } from '@/types/feature_desc' import { CCard } from '../reusables/c-card' import { CDataInfo } from '../reusables/c-data-info' export class NeuronFeatureCard extends LitElementWw { static scopedElements = { "c-card": CCard, "c-data-info": CDataInfo } @property({ attribute: false }) accessor neuron: CNeuron @property({ attribute: false }) accessor featureDesc: FeatureDesc @consume({ context: dataSetContext, subscribe: true }) accessor dataSet: DataSet // STYLES - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - static styles: CSSResult = globalStyles // RENDER - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - render(): TemplateResult<1> { return html` <c-card> <div slot="title">Assigned feature (input)</div> <div slot="content"> <c-data-info type="feature" .dataDesc=${this.featureDesc} .dataSet=${this.dataSet} ></c-data-info> </div> </c-card> ` } }