74 lines
1.9 KiB
Go
74 lines
1.9 KiB
Go
// Copyright 2023 The casbin Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package object
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import (
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"fmt"
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"github.com/danaugrs/go-tsne/tsne"
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"gonum.org/v1/gonum/mat"
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)
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func testTsne() {
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b := mat.NewDense(5, 3, []float64{
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0.1, 0.1, 0.1,
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0.7, 0.7, 0.7,
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0.1, 0.7, 0.5,
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0.7, 0.1, 0.2,
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0.1, 0.7, 0.5,
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})
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t := tsne.NewTSNE(2, 300, 100, 300, true)
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Y := t.EmbedData(b, func(iter int, divergence float64, embedding mat.Matrix) bool {
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fmt.Printf("Iteration %d: divergence is %v\n", iter, divergence)
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return false
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})
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println(Y)
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}
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func (factorset *Factorset) DoTsne(dimension int) {
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floatArray := []float64{}
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for _, factor := range factorset.AllFactors {
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floatArray = append(floatArray, factor.Data...)
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}
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X := mat.NewDense(len(factorset.AllFactors), factorset.Dimension, floatArray)
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t := tsne.NewTSNE(dimension, 300, 100, 300, true)
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Y := t.EmbedData(X, func(iter int, divergence float64, embedding mat.Matrix) bool {
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fmt.Printf("Iteration %d: divergence is %v\n", iter, divergence)
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return false
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})
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rowCount, columnCount := Y.Dims()
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if rowCount != len(factorset.AllFactors) {
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panic("rowCount != len(factorset.AllFactors)")
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}
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if columnCount != dimension {
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panic("columnCount != dimension")
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}
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for i, factor := range factorset.AllFactors {
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arr := []float64{}
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for j := 0; j < dimension; j++ {
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arr = append(arr, Y.At(i, j))
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}
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factor.Data = arr
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}
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}
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