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df1 = pd.read_csv("fer2013.csv") #make sure the file is in the root location | |
# Preprocessing | |
x_train=[] | |
x_test=[] | |
y_train=[] | |
y_test=[] | |
for i,row in df1.iterrows(): | |
k=row['pixels'].split(" ") | |
if(row['Usage']=='Training'): |
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package higgs.boson; | |
import java.lang.System; | |
@kotlin.Metadata(mv = {1, 4, 2}, bv = {1, 0, 3}, k = 1, d1 = {"\u0000\f\n\u0002\u0018\u0002\n\u0002\u0010\u0000\n\u0002\b\u0002\b\u00c3\u0002\u0018\u00002\u00020\u0001B\u0007\b\u0002\u00a2\u0006\u0002\u0010\u0002\u00a8\u0006\u0003"}, d2 = {"Lhiggs/boson/Api;", "", "()V", "excalibur"}) | |
@OpenAPIDefinition(info = @io.swagger.v3.oas.annotations.info.Info(version = "0.0", title = "excalibur")) | |
final class Api { | |
@org.jetbrains.annotations.NotNull | |
public static final higgs.boson.Api INSTANCE = null; | |