1 files changed, 0 insertions, 183 deletions
diff --git a/ml/SamplesBuffer.cc b/ml/SamplesBuffer.cc
deleted file mode 100644
index 359b60c2..00000000
--- a/ml/SamplesBuffer.cc
+++ /dev/null
@@ -1,183 +0,0 @@
-// SPDX-License-Identifier: GPL-3.0-or-later
-//
-#include "SamplesBuffer.h"
-
-#include <fstream>
-#include <sstream>
-#include <string>
-
-void Sample::print(std::ostream &OS) const {
-    for (size_t Idx = 0; Idx != NumDims - 1; Idx++)
-        OS << CNs[Idx] << ", ";
-
-    OS << CNs[NumDims - 1];
-}
-
-void SamplesBuffer::print(std::ostream &OS) const {
-    for (size_t Idx = Preprocessed ? (DiffN + (SmoothN - 1) + (LagN)) : 0;
-         Idx != NumSamples; Idx++) {
-        Sample S = Preprocessed ? getPreprocessedSample(Idx) : getSample(Idx);
-        OS << S << std::endl;
-    }
-}
-
-std::vector<Sample> SamplesBuffer::getPreprocessedSamples() const {
-    std::vector<Sample> V;
-
-    for (size_t Idx = Preprocessed ? (DiffN + (SmoothN - 1) + (LagN)) : 0;
-         Idx != NumSamples; Idx++) {
-        Sample S = Preprocessed ? getPreprocessedSample(Idx) : getSample(Idx);
-        V.push_back(S);
-    }
-
-    return V;
-}
-
-void SamplesBuffer::diffSamples() {
-    // Panda's DataFrame default behaviour is to subtract each element from
-    // itself. For us `DiffN = 0` means "disable diff-ing" when preprocessing
-    // the samples buffer. This deviation will make it easier for us to test
-    // the KMeans implementation.
-    if (DiffN == 0)
-        return;
-
-    for (size_t Idx = 0; Idx != (NumSamples - DiffN); Idx++) {
-        size_t High = (NumSamples - 1) - Idx;
-        size_t Low = High - DiffN;
-
-        Sample LHS = getSample(High);
-        Sample RHS = getSample(Low);
-
-        LHS.diff(RHS);
-    }
-}
-
-void SamplesBuffer::smoothSamples() {
-    // Holds the mean value of each window
-    CalculatedNumber AccCNs[1] = { 0 };
-    Sample Acc(AccCNs, 1);
-
-    // Used to avoid clobbering the accumulator when moving the window
-    CalculatedNumber TmpCNs[1] = { 0 };
-    Sample Tmp(TmpCNs, 1);
-
-    CalculatedNumber Factor = (CalculatedNumber) 1 / SmoothN;
-
-    // Calculate the value of the 1st window
-    for (size_t Idx = 0; Idx != std::min(SmoothN, NumSamples); Idx++) {
-        Tmp.add(getSample(NumSamples - (Idx + 1)));
-    }
-
-    Acc.add(Tmp);
-    Acc.scale(Factor);
-
-    // Move the window and update the samples
-    for (size_t Idx = NumSamples; Idx != (DiffN + SmoothN - 1); Idx--) {
-        Sample S = getSample(Idx - 1);
-
-        // Tmp <- Next window (if any)
-        if (Idx >= (SmoothN + 1)) {
-            Tmp.diff(S);
-            Tmp.add(getSample(Idx - (SmoothN + 1)));
-        }
-
-        // S <- Acc
-        S.copy(Acc);
-
-        // Acc <- Tmp
-        Acc.copy(Tmp);
-        Acc.scale(Factor);
-    }
-}
-
-void SamplesBuffer::lagSamples() {
-    if (LagN == 0)
-        return;
-
-    for (size_t Idx = NumSamples; Idx != LagN; Idx--) {
-        Sample PS = getPreprocessedSample(Idx - 1);
-        PS.lag(getSample(Idx - 1), LagN);
-    }
-}
-
-void SamplesBuffer::preprocess(std::vector<DSample> &Samples) {
-    assert(Preprocessed == false);
-
-    size_t OutN = NumSamples;
-
-    // Diff
-    if (DiffN >= OutN)
-        return;
-    OutN -= DiffN;
-    diffSamples();
-
-    // Smooth
-    if (SmoothN == 0 || SmoothN > OutN)
-        return;
-    OutN -= (SmoothN - 1);
-    smoothSamples();
-
-    // Lag
-    if (LagN >= OutN)
-        return;
-    OutN -= LagN;
-    lagSamples();
-
-    Samples.reserve(OutN);
-    Preprocessed = true;
-
-    uint32_t MaxMT = std::numeric_limits<uint32_t>::max();
-    uint32_t CutOff = static_cast<double>(MaxMT) * SamplingRatio;
-
-    for (size_t Idx = NumSamples - OutN; Idx != NumSamples; Idx++) {
-        if (RandNums[Idx] > CutOff)
-            continue;
-
-        DSample DS;
-        DS.set_size(NumDimsPerSample * (LagN + 1));
-
-        const Sample PS = getPreprocessedSample(Idx);
-        PS.initDSample(DS);
-
-        Samples.push_back(std::move(DS));
-    }
-}
-
-void SamplesBuffer::preprocess(DSample &Feature) {
-    assert(Preprocessed == false);
-
-    size_t OutN = NumSamples;
-
-    // Diff
-    if (DiffN >= OutN)
-        return;
-    OutN -= DiffN;
-    diffSamples();
-
-    // Smooth
-    if (SmoothN == 0 || SmoothN > OutN)
-        return;
-    OutN -= (SmoothN - 1);
-    smoothSamples();
-
-    // Lag
-    if (LagN >= OutN)
-        return;
-    OutN -= LagN;
-    lagSamples();
-
-    Preprocessed = true;
-
-    uint32_t MaxMT = std::numeric_limits<uint32_t>::max();
-    uint32_t CutOff = static_cast<double>(MaxMT) * SamplingRatio;
-
-    for (size_t Idx = NumSamples - OutN; Idx != NumSamples; Idx++) {
-        if (RandNums[Idx] > CutOff)
-            continue;
-
-        Feature.set_size(NumDimsPerSample * (LagN + 1));
-
-        const Sample PS = getPreprocessedSample(Idx);
-        PS.initDSample(Feature);
-    }
-}