63 lines
2.6 KiB
Python
63 lines
2.6 KiB
Python
import numpy as np
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import pandas as pd
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from copy import deepcopy
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from pyFTS.common import Util
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def save_dataframe_point(experiments, file, objs, rmse, save, sintetic, smape, times, u):
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ret = []
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if sintetic:
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for k in sorted(objs.keys()):
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try:
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mod = []
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mfts = objs[k]
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mod.append(mfts.shortname)
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mod.append(mfts.order)
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mod.append(mfts.partitioner.name)
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mod.append(mfts.partitioner.partitions)
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mod.append(len(mfts))
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mod.append(np.round(np.nanmean(rmse[k]), 2))
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mod.append(np.round(np.nanstd(rmse[k]), 2))
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mod.append(np.round(np.nanmean(smape[k]), 2))
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mod.append(np.round(np.nanstd(smape[k]), 2))
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mod.append(np.round(np.nanmean(u[k]), 2))
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mod.append(np.round(np.nanstd(u[k]), 2))
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mod.append(np.round(np.nanmean(times[k]), 4))
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ret.append(mod)
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except Exception as ex:
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print("Erro ao salvar ", k)
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print("Exceção ", ex)
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columns = ["Model", "Order", "Scheme","Partitions", "Size", "RMSEAVG", "RMSESTD", "SMAPEAVG", "SMAPESTD", "UAVG", "USTD", "TIMEAVG"]
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else:
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for k in sorted(objs.keys()):
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try:
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mfts = objs[k]
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tmp = [mfts.shortname, mfts.order, mfts.partitioner.name, mfts.partitioner.partitions, len(mfts), 'RMSE']
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tmp.extend(rmse[k])
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ret.append(deepcopy(tmp))
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tmp = [mfts.shortname, mfts.order, mfts.partitioner.name, mfts.partitioner.partitions, len(mfts), 'SMAPE']
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tmp.extend(smape[k])
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ret.append(deepcopy(tmp))
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tmp = [mfts.shortname, mfts.order, mfts.partitioner.name, mfts.partitioner.partitions, len(mfts), 'U']
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tmp.extend(u[k])
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ret.append(deepcopy(tmp))
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tmp = [mfts.shortname, mfts.order, mfts.partitioner.name, mfts.partitioner.partitions, len(mfts), 'TIME']
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tmp.extend(times[k])
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ret.append(deepcopy(tmp))
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except Exception as ex:
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print("Erro ao salvar ", k)
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print("Exceção ", ex)
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columns = [str(k) for k in np.arange(0, experiments)]
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columns.insert(0, "Model")
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columns.insert(1, "Order")
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columns.insert(2, "Scheme")
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columns.insert(3, "Partitions")
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columns.insert(4, "Size")
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columns.insert(5, "Measure")
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dat = pd.DataFrame(ret, columns=columns)
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if save: dat.to_csv(Util.uniquefilename(file), sep=";")
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return dat
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