Change labels from int to float

README.md

@@ -13,7 +13,7 @@ Data downloaded and processed using the following Python script:
 import pandas as pd
 
 df = pd.read_csv('https://services.healthtech.dtu.dk/services/DeepLoc-2.0/data/Swissprot_Train_Validation_dataset.csv').drop(['Unnamed: 0', 'Partition'], axis=1)
-df['labels'] = df[['Cell membrane', 'Cytoplasm','Endoplasmic reticulum', 'Extracellular', 'Golgi apparatus', 'Lysosome/Vacuole', 'Mitochondrion', 'Nucleus', 'Peroxisome', 'Plastid']].astype('int8').values.tolist()
+df['labels'] = df[['Cell membrane', 'Cytoplasm','Endoplasmic reticulum', 'Extracellular', 'Golgi apparatus', 'Lysosome/Vacuole', 'Mitochondrion', 'Nucleus', 'Peroxisome', 'Plastid']].astype('float16').values.tolist()
 df['Membrane'] = df['Membrane'].astype('int8')
 df = df[['Kingdom', 'ACC', 'Sequence','Membrane','labels']]
 

deeploc-test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15a8ad44a8ccf204be9f5e423adec792138360885dead352282ceab007460254
-size 1635356
+oid sha256:d48167a2babeb7074f6e2396cc637e026a0e65586efb8c71cfc8e9e2115f23fb
+size 1631338

deeploc-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:635c8ca79d28616b449bd91a8a8c0b00916dd4c6b304a14a1870107ff6b9504e
-size 12854801
+oid sha256:d27b7603157aaba2ac9b2d93d0a5264826f744177c5838f9395d1e8b80c32814
+size 12865785

deploc-val.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bd20e1ce78f568ea3255ebfcb915b275355aaea7c91db737f298ad30f279ce0f
-size 1630148
+oid sha256:9817999ed6508ee98621dd70791356c1f681b9e1380ea1a814371babbffdec57
+size 1633138

prep.py

@@ -1,7 +1,7 @@
 import pandas as pd
 
 df = pd.read_csv('https://services.healthtech.dtu.dk/services/DeepLoc-2.0/data/Swissprot_Train_Validation_dataset.csv').drop(['Unnamed: 0', 'Partition'], axis=1)
-df['labels'] = df[['Cell membrane', 'Cytoplasm','Endoplasmic reticulum', 'Extracellular', 'Golgi apparatus', 'Lysosome/Vacuole', 'Mitochondrion', 'Nucleus', 'Peroxisome', 'Plastid']].astype('int8').values.tolist()
+df['labels'] = df[['Cell membrane', 'Cytoplasm','Endoplasmic reticulum', 'Extracellular', 'Golgi apparatus', 'Lysosome/Vacuole', 'Mitochondrion', 'Nucleus', 'Peroxisome', 'Plastid']].astype('float16').values.tolist()
 df['Membrane'] = df['Membrane'].astype('int8')
 df = df[['Kingdom', 'ACC', 'Sequence','Membrane','labels']]