text stringlengths 1 93.6k |
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for i in range(days):
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filename_i = d_path + npzfile + "_{0}_processed.npz".format(i)
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with np.load(filename_i) as data:
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X_cat_t = np.transpose(data["X_cat"])
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X_int_t = np.transpose(data["X_int"])
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y = data["y"]
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size = len(y)
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# sanity check
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if total_per_file[i] != size:
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sys.exit("ERROR: sanity check on number of samples failed")
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# setup start and end ranges
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start = offset_per_file[i]
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end = offset_per_file[i + 1]
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# print(filename_i)
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# print("start=" + str(start) + " end=" + str(end)
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# + " diff=" + str(end - start) + "=" + str(total_per_file[i]))
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for j in range(tot_fea):
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filename_j = trafile + "_{0}_reordered.npy".format(j)
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fj = np.load(filename_j, mmap_mode='r+')
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if j < tar_fea:
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fj[indices[start:end]] = y
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elif tar_fea <= j and j < tad_fea:
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fj[indices[start:end]] = X_int_t[j - tar_fea, :]
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else:
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fj[indices[start:end]] = X_cat_t[j - tad_fea, :]
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del fj
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else:
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print("Reordered fea files already exist, skipping ...")
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# check if data already exists
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recreate_flag = False
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for i in range(days):
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filename_i = d_path + npzfile + "_{0}_reordered.npz".format(i)
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if path.exists(filename_i):
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print("Using existing " + filename_i)
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else:
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recreate_flag = True
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# split reordered data by files (memmap all reordered files per feature)
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# on the day boundary del the file object and memmap again
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if recreate_flag:
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for i in range(days):
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filename_i = d_path + npzfile + "_{0}_reordered.npz".format(i)
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size = total_per_file[i]
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X_int_t = np.zeros((den_fea, size))
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X_cat_t = np.zeros((spa_fea, size))
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# setup start and end ranges
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start = offset_per_file[i]
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end = offset_per_file[i + 1]
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print("Creating " + filename_i)
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# print("start=" + str(start) + " end=" + str(end)
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# + " diff=" + str(end - start) + "=" + str(total_per_file[i]))
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for j in range(tot_fea):
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filename_j = trafile + "_{0}_reordered.npy".format(j)
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fj = np.load(filename_j, mmap_mode='r')
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if j < tar_fea:
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y = fj[start:end]
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elif tar_fea <= j and j < tad_fea:
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X_int_t[j - tar_fea, :] = fj[start:end]
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else:
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X_cat_t[j - tad_fea, :] = fj[start:end]
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del fj
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np.savez_compressed(
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filename_i,
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X_cat=np.transpose(X_cat_t), # transpose of the data
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X_int=np.transpose(X_int_t), # transpose of the data
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y=y,
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)
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else:
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print("Reordered day files already exist, skipping ...")
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'''
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'''
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# Approach 2: group days
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# check if data already exists
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recreate_flag = False
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for j in range(tot_fea):
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filename_j = trafile + "_{0}_reordered.npy".format(j)
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if path.exists(filename_j):
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print("Using existing " + filename_j)
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else:
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recreate_flag = True
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# load, reorder and concatenate data (memmap all reordered files per feature)
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if recreate_flag:
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# init reordered files (.npy appended automatically)
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z = np.zeros((total_count))
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for j in range(tot_fea):
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filename_j = trafile + "_{0}_reordered".format(j)
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np.save(filename_j, z)
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print("Creating " + filename_j)
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group_day = 3 # e.g. 8, 4 or 3
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group_num = days // group_day
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file_group = [i*group_day for i in range(group_num)] + [days]
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for ii in range(group_num):
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# for last may be group_size != group_num, therefore reset it below
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group_size = file_group[ii + 1] - file_group[ii]
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X_cat_t = [0]*group_size
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