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Complete excel classification report

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This commit is contained in:
Ricardo Montañana Gómez
2024-05-18 22:59:37 +02:00
parent 594adb0534
commit ad5c3319bd
2 changed files with 86 additions and 24 deletions
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107
src/reports/ReportExcel.cpp
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@@ -198,11 +198,11 @@ namespace platform {
create_classification_report(lastResult); create_classification_report(lastResult);
} }
// Set with of columns to show those totals completely // Set with of columns to show those totals completely
for (int i = 0; i < 5; ++i) { worksheet_set_column(worksheet, 1, 1, 12, NULL);
for (int i = 2; i < 7; ++i) {
// doesn't work with from col to col, so... // doesn't work with from col to col, so...
worksheet_set_column(worksheet, i, i, 12, NULL); worksheet_set_column(worksheet, i, i, 15, NULL);
} }
worksheet_set_column(worksheet, 5, 5, 7, NULL);
} else { } else {
footer(totalScore, row); footer(totalScore, row);
} }
@@ -216,56 +216,118 @@ namespace platform {
throw std::invalid_argument("Couldn't create sheet classif_report"); throw std::invalid_argument("Couldn't create sheet classif_report");
} }
worksheet_merge_range(matrix_sheet, 0, 0, 0, 5, "Classification Report", efectiveStyle("bodyHeader")); worksheet_merge_range(matrix_sheet, 0, 0, 0, 5, "Classification Report", efectiveStyle("bodyHeader"));
int row = 3; int row = 2;
int col = 0;
if (result.find("confusion_matrices_train") != result.end()) { if (result.find("confusion_matrices_train") != result.end()) {
// Train classification report
auto score = Scores::create_aggregate(result, "confusion_matrices_train"); auto score = Scores::create_aggregate(result, "confusion_matrices_train");
auto train = score.classification_report_json("Train"); auto train = score.classification_report_json("Train");
row = write_classification_report(train, row); std::tie(row, col) = write_classification_report(train, row, 0);
int new_row = 0;
int new_col = col + 1;
for (int i = 0; i < result["confusion_matrices_train"].size(); ++i) {
auto item = result["confusion_matrices_train"][i];
auto score_item = Scores(item);
auto title = "Train Fold " + std::to_string(i);
std::tie(new_row, new_col) = write_classification_report(score_item.classification_report_json(title), 2, new_col);
new_col++;
}
} }
// Test classification report
auto score = Scores::create_aggregate(result, "confusion_matrices"); auto score = Scores::create_aggregate(result, "confusion_matrices");
auto test = score.classification_report_json("Test"); auto test = score.classification_report_json("Test");
write_classification_report(test, ++row); int init_row = ++row;
for (int i = 1; i < 6; ++i) { std::tie(row, col) = write_classification_report(test, init_row, 0);
int new_row = 0;
int new_col = col + 1;
for (int i = 0; i < result["confusion_matrices"].size(); ++i) {
auto item = result["confusion_matrices"][i];
auto score_item = Scores(item);
auto title = "Test Fold " + std::to_string(i);
std::tie(new_row, new_col) = write_classification_report(score_item.classification_report_json(title), init_row, new_col);
new_col++;
}
// Format columns (change size to fit the content)
for (int i = 0; i < new_col; ++i) {
// doesn't work with from col to col, so... // doesn't work with from col to col, so...
worksheet_set_column(worksheet, i, i, 15, NULL); worksheet_set_column(worksheet, i, i, 12, NULL);
} }
worksheet = tmp; worksheet = tmp;
} }
int ReportExcel::write_classification_report(const json& result, int row) std::pair<int, int> ReportExcel::write_classification_report(const json& result, int init_row, int init_col)
{ {
auto text = result["title"].get<std::string>().c_str(); int row = init_row;
std::cout << "title: " << text << std::endl; auto text = result["title"].get<std::string>();
worksheet_merge_range(worksheet, row, 0, row, 5, text, efectiveStyle("bodyHeader")); worksheet_merge_range(worksheet, row++, init_col, row, init_col + 5, text.c_str(), efectiveStyle("bodyHeader"));
int col = 2; int col = init_col + 2;
row++; // Headers
bool first_item = true; bool first_item = true;
for (const auto& item : result["headers"]) { for (const auto& item : result["headers"]) {
auto text = item.get<std::string>().c_str(); auto text = item.get<std::string>();
if (first_item) { if (first_item) {
first_item = false; first_item = false;
worksheet_merge_range(worksheet, row, 0, row, 1, text, efectiveStyle("bodyHeader")); worksheet_merge_range(worksheet, row, init_col, row, init_col + 1, text.c_str(), efectiveStyle("bodyHeader"));
} else { } else {
writeString(row, col++, text, "bodyHeader"); writeString(row, col++, text, "bodyHeader");
} }
} }
row++; row++;
// Classes f1-score
for (const auto& item : result["body"]) { for (const auto& item : result["body"]) {
col = 2; col = init_col + 2;
for (const auto& value : item) { for (const auto& value : item) {
if (value.is_string()) { if (value.is_string()) {
worksheet_merge_range(worksheet, row, 0, row, 1, value.get<std::string>().c_str(), efectiveStyle("text")); worksheet_merge_range(worksheet, row, init_col, row, init_col + 1, value.get<std::string>().c_str(), efectiveStyle("text"));
} else { } else {
if (value.is_number_integer()) { if (value.is_number_integer()) {
writeInt(row, col++, value.get<int>(), "result"); writeInt(row, col++, value.get<int>(), "ints");
} else { } else {
writeDouble(row, col++, value.get<double>(), "result"); writeDouble(row, col++, value.get<double>(), "result");
} }
} }
row++;
} }
row++;
} }
return row; worksheet_merge_range(worksheet, row, init_col, row, init_col + 5, "", efectiveStyle("text"));
row++;
// Accuracy and average f1-score
for (const auto& item : { "accuracy", "averages", "weighted" }) {
col = init_col + 2;
for (const auto& value : result[item]) {
if (value.is_string()) {
worksheet_merge_range(worksheet, row, init_col, row, init_col + 1, value.get<std::string>().c_str(), efectiveStyle("text"));
} else {
if (value.is_number_integer()) {
writeInt(row, col++, value.get<int>(), "ints");
} else {
writeDouble(row, col++, value.get<double>(), "result");
}
}
}
row++;
}
// Confusion matrix
worksheet_merge_range(worksheet, row, init_col, row, init_col + 5, "", efectiveStyle("bodyHeader"));
row++;
auto n_items = result["confusion_matrix"].size();
worksheet_merge_range(worksheet, row, init_col, row, init_col + n_items + 1, "Confusion Matrix", efectiveStyle("bodyHeader"));
row++;
for (int i = 0; i < n_items; ++i) {
col = init_col + 2;
auto label = result["body"][i][0].get<std::string>();
worksheet_merge_range(worksheet, row, init_col, row, init_col + 1, label.c_str(), efectiveStyle("text"));
for (int j = 0; j < result["confusion_matrix"][i].size(); ++j) {
auto value = result["confusion_matrix"][i][j];
if (i == j) {
writeInt(row, col++, value.get<int>(), "ints_bold");
} else {
writeInt(row, col++, value.get<int>(), "ints");
}
}
row++;
}
int maxcol = std::max(5, int(init_col + n_items + 1));
return { row, maxcol };
} }
void ReportExcel::showSummary() void ReportExcel::showSummary()
{ {
@@ -276,7 +338,6 @@ namespace platform {
row += 1; row += 1;
} }
} }
void ReportExcel::footer(double totalScore, int row) void ReportExcel::footer(double totalScore, int row)
{ {
showSummary(); showSummary();

3
src/reports/ReportExcel.h
View File

@@ -1,5 +1,6 @@
#ifndef REPORT_EXCEL_H #ifndef REPORT_EXCEL_H
#define REPORT_EXCEL_H #define REPORT_EXCEL_H
#include <algorithm>
#include "main/Scores.h" #include "main/Scores.h"
#include "common/Colors.h" #include "common/Colors.h"
#include "ReportBase.h" #include "ReportBase.h"
@@ -21,7 +22,7 @@ namespace platform {
void footer(double totalScore, int row); void footer(double totalScore, int row);
void append_notes(const json& r, int row); void append_notes(const json& r, int row);
void create_classification_report(const json& result); void create_classification_report(const json& result);
int write_classification_report(const json& result, int row); std::pair<int, int> write_classification_report(const json& result, int init_row, int init_col);
void header_notes(int row); void header_notes(int row);
}; };
}; };