text stringlengths 1 93.6k |
|---|
jn, group_fea
|
)
|
if path.exists(filename_j):
|
print("Using existing " + filename_j)
|
else:
|
recreate_flag = True
|
# load, reorder and concatenate data (memmap all reordered files per feature)
|
if recreate_flag:
|
# init reordered files (.npy appended automatically)
|
z = np.zeros((group_fea, total_count))
|
for jn in range(group_num):
|
filename_j = trafile + "_{0}_reordered{1}".format(
|
jn, group_fea
|
)
|
np.save(filename_j, z)
|
print("Creating " + filename_j)
|
for i in range(days):
|
filename_i = d_path + npzfile + "_{0}_processed.npz".format(i)
|
with np.load(filename_i) as data:
|
X_cat_t = np.transpose(data["X_cat"])
|
X_int_t = np.transpose(data["X_int"])
|
y = data["y"]
|
size = len(y)
|
# sanity check
|
if total_per_file[i] != size:
|
sys.exit("ERROR: sanity check on number of samples failed")
|
# setup start and end ranges
|
start = offset_per_file[i]
|
end = offset_per_file[i + 1]
|
# print(filename_i)
|
# print("start=" + str(start) + " end=" + str(end)
|
# + " diff=" + str(end - start) + "=" + str(total_per_file[i]))
|
for jn in range(group_num):
|
filename_j = trafile + "_{0}_reordered{1}.npy".format(
|
jn, group_fea
|
)
|
fj = np.load(filename_j, mmap_mode='r+')
|
for jg in range(group_fea):
|
j = jn * group_fea + jg
|
# print("j=" + str(j) + " jn=" + str(jn) + " jg=" + str(jg))
|
if j < tar_fea:
|
fj[jg, indices[start:end]] = y
|
elif tar_fea <= j and j < tad_fea:
|
fj[jg, indices[start:end]] = X_int_t[j - tar_fea, :]
|
else:
|
fj[jg, indices[start:end]] = X_cat_t[j - tad_fea, :]
|
del fj
|
else:
|
print("Reordered fea files already exist, skipping ...")
|
# check if data already exists
|
recreate_flag = False
|
for i in range(days):
|
filename_i = d_path + npzfile + "_{0}_reordered.npz".format(i)
|
if path.exists(filename_i):
|
print("Using existing" + filename_i)
|
else:
|
recreate_flag = True
|
# split reordered data by files (memmap all reordered files per feature)
|
# on the day boundary del the file object and memmap again
|
if recreate_flag:
|
for i in range(days):
|
filename_i = d_path + npzfile + "_{0}_reordered.npz".format(i)
|
size = total_per_file[i]
|
X_int_t = np.zeros((den_fea, size))
|
X_cat_t = np.zeros((spa_fea, size))
|
# setup start and end ranges
|
start = offset_per_file[i]
|
end = offset_per_file[i + 1]
|
print("Creating " + filename_i)
|
# print("start=" + str(start) + " end=" + str(end)
|
# + " diff=" + str(end - start) + "=" + str(total_per_file[i]))
|
for jn in range(group_num):
|
filename_j = trafile + "_{0}_reordered{1}.npy".format(
|
jn, group_fea
|
)
|
fj = np.load(filename_j, mmap_mode='r')
|
for jg in range(group_fea):
|
j = jn * group_fea + jg
|
# print("j=" + str(j) + " jn=" + str(jn) + " jg=" + str(jg))
|
if j < tar_fea:
|
y = fj[jg, start:end]
|
elif tar_fea <= j and j < tad_fea:
|
X_int_t[j - tar_fea, :] = fj[jg, start:end]
|
else:
|
X_cat_t[j - tad_fea, :] = fj[jg, start:end]
|
del fj
|
np.savez_compressed(
|
filename_i,
|
X_cat=np.transpose(X_cat_t), # transpose of the data
|
X_int=np.transpose(X_int_t), # transpose of the data
|
y=y,
|
)
|
else:
|
print("Reordered day files already exist, skipping ...")
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.