create3DPlotFromPCA(data_pca_Differences, "pca-plot", 750, "PCA of Difference Vectors");
tf = {
const r = require.alias({
"@tensorflow/tfjs-core": "@tensorflow/tfjs-core@0.14.3",
"@tensorflow/tfjs-tsne": "@tensorflow/tfjs-tsne@0.2.0"
});
const [tf, tsne] = await Promise.all([
r("@tensorflow/tfjs-core"),
r("@tensorflow/tfjs-tsne")
]);
tf.tsne = tsne;
return tf;
}
PrepDataMatches = {
function prepareData(matches) {
if (!Array.isArray(matches) || matches.length === 0) {
throw new Error("Input 'matches' must be a non-empty array.");
}
const textEmbeddings = matches.map(match => match.report_embedding);
const imageEmbeddings = matches.map(match => match.embeddingMatch.embedding);
// Basic validation of the data
const embeddingLength = textEmbeddings[0]?.length;
if (!embeddingLength || !textEmbeddings.every(e => Array.isArray(e) && e.length === embeddingLength) ||
!imageEmbeddings.every(e => Array.isArray(e) && e.length === embeddingLength)) {
throw new Error("Embeddings are invalid or of inconsistent lengths.");
}
return { textEmbeddings, imageEmbeddings };
}
}
knnClassifier = await require("@tensorflow-models/knn-classifier")
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
