I am trying to do a hyperparameter tuning using GridSearchCV on XGBoost.But, I'm getting the following error.
/usr/local/lib/python3.6/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.if diff:
This keeps on running forever. Given below is the code.
classifier = xgb.XGBClassifier()
from sklearn.grid_search import GridSearchCV
n_estimators=[10,50,100,150,200,250,300]
max_depth=[2,3,4,5,6,7,8,9,10]
learning_rate=[0.1,0.01,0.09,0.08,0.07,0.001]
colsample_bytree=[0.5,0.6,0.7,0.8,0.9]
min_child_weight=[1,2,3,4,5,6,7,8,9,10]
gamma=[0.001,0.01,0.1,0.2,0.3,0.4,0.5,1]
subsample=[0.5,0.6,0.7,0.8,0.9]
param_grid=dict(n_estimators=n_estimators,max_depth=max_depth,learning_rate=learning_rate,colsample_bytree=colsample_bytree,min_child_weight=min_child_weight,gamma=gamma,subsample=subsample)
grid = GridSearchCV(classifier, param_grid, cv=10, scoring='accuracy')
grid.fit(X, Y)
grid.grid_scores_
print(grid.best_score_)
print(grid.best_params_)
print(grid.best_estimator_)
# Predicting the Test set results
Y_pred = classifier.predict(X_test)
# Making the Confusion Matrix
from sklearn.metrics import confusion_matrix
cm = confusion_matrix(Y_test, Y_pred)
I am using python3.5, XGBOOT and gridsearch library has already been preloaded. I am running this on google collaboratory.
Please suggest what is going wrong ?
When I try to solve this first ode by using Sympy as it shows below:
import sympy
y = sympy.Function('y')
t = sympy.Symbol('t')
ode = sympy.Eq(y(t).diff(t),(1/y(t))*sympy.sin(t))
sol = sympy.dsolve(ode,y(t))
csol=sol.subs([(t,0),(y(0),-4)]) # the I.C. is y(0) = 1
ode_sol= sol.subs([(csol.rhs,csol.lhs)])
print(sympy.pprint(ode_sol))
It gives me this error:
Traceback (most recent call last):
File "C:/Users/Mohammed Alotaibi/AppData/Local/Programs/Python/Python35/ODE2.py", line 26, in <module>
csol=sol.subs([(t,0),(y(0),-4)]) # the I.C. is y(0) = 1
AttributeError: 'list' object has no attribute 'subs'
Your problem is that this ODE does not have a unique solution. Thus it returns a list of solution, which you can find out from the error message and by printing sol.
Do the evaluation in a loop,
for psol in sol:
csol = psol.subs([(t,0),(y(0),-4)]);
ode_sol = psol.subs([(csol.rhs,csol.lhs)]);
print(sympy.pprint(ode_sol))
to find the next error, that substituting does not solve for the constant. What works is to define C1=sympy.Symbol("C1") and using
ode_sol= psol.subs([(C1, sympy.solve(csol)[0])]);
but this still feels hacky. Or better to avoid error messages for the unsolvability of the second case:
C1=sympy.Symbol("C1");
for psol in sol:
csol = psol.subs([(t,0),(y(0),-4)]);
for cc1 in sympy.solve(csol):
ode_sol= psol.subs([(C1, cc1)]);
print(sympy.pprint(ode_sol))
Trying to solve the puzzle task with prolog and got some problems.
1002 Stack Overflow. Re-configure with Setup if necessary.
So, I've tried to increase stack size in setup and run program again.
But it causes the other error: Syntax error on line...
The error line is line with operator "not" in predicate.
Here is my code:
domains
age = integer
childname,ffood,fear = string
child = child(childname,age,ffood,fear)
children = child*
predicates
solve
name(child,childname)
fear(child,fear)
age(child,age)
ffood(child,ffood)
keys(children)
solution(children)
elder(child)
member(children,child)
structure(children)
clauses
member([X|_],X).
member([_|SP],X):-member(SP,X).
name(child(A,_,_,_),A).
age(child(_,A,_,_),A).
ffood(child(_,_,A,_),A).
fear(child(_,_,_,A),A).
structure([child("Dima",_,_,_),child("Kate",_,_,_),child("Misha",_,_,_),child("Sveta",_,_,_),child("Ura",_,_,_)]).
elder(child(_,A,_,_)):-A=7;A=8.
solve:-structure(Children),keys(Children),solution(Children).
keys(Struct):-
member(Struct,child(_,4,_,_)),
member(Struct,child(_,5,_,_)),
member(Struct,child(_,6,_,_),
member(Struct,child(_,7,_,_),
member(Struct,child(_,8,_,_)),
member(Struct,child(_,_,"Banana",_),
member(Struct,child(_,_,"Icecream",_),
member(Struct,child(_,_,"Pizza",_),
member(Struct,child(_,_,"Pasta",_),
member(Struct,child(_,_,"Chocolate",_),
member(Struct,child(_,_,_,"Thunderstorm"),
member(Struct,child(_,_,_,"Spiders"),
member(Struct,child(_,_,_,"Ghosts"),
member(Struct,child(_,_,_,"Dogs"),
member(Struct,child(_,_,_,"Darkness"),
member(Struct,Child1),
name(Child1,"Kate"),
elder(Child1),
not(fear(Child1,"Darkness")),
not(ffood(Child1,"Chocolate")),
member(Struct,Child2),
name(Child2,"Sveta"),
elder(Child2),
not(fear(Child2,"Darkness")),
not(ffood(Child2,"Chocolate")),
ffood(Child2,"Pizza"),
not(fear(Child2,"Spiders")),
member(Struct,Child3),
age(Child3,5),
fear(Child3,"Ghosts"),
member(Struct,Child4),
age(Child4,6),
fear(Child4,"Thunderstorm"),
not(ffood(Child4,"Chocolate")),
not(ffood(Child4,"Pasta")),
member(Struct,Child5),
age(Child5,4),
ffood(Child5,"Banana"),
member(Struct,Child6),
age(Child6,8),
not(fear(Child6,"Dogs")),
member(Struct,Child7),
name(Child7,"Dima"),
not(age(Child7,5)),
not(fear(Child7,"Darkness")),
not(fear(Child7,"Spiders")),
not(ffood(Child7,"Banana")),
member(Struct,Child8),
name(Child8,"Misha"),
not(fear(Child8,"Darkness")),
not(fear(Child8,"Spiders")),
not(ffood(Child8,"Banana")).
solution (Children):-
write ("Solve:"), write (Children).
goal
solve.
Found strange this prolog behavior... maybe somebody had the same problem?
I tried to reformat your code with SWI-Prolog:
keys(Struct):-
member(Struct,child(_,4,_,_)),
member(Struct,child(_,5,_,_)),
member(Struct,child(_,6,_,_),
member(Struct,child(_,7,_,_),
member(Struct,child(_,8,_,_)),
member(Struct,child(_,_,"Banana",_),
...
seems you're missing some parenthesis...
after the obvious correction, I get
?- solve.
Solve:[child(Dima,6,Icecream,Thunderstorm),child(Kate,8,Pasta,Spiders),child(Misha,5,Chocolate,Ghosts),child(Sveta,7,Pizza,Dogs),child(Ura,4,Banana,Darkness)]
true .