def frame_math_ops(ip, port):
# Connect to h2o
h2o.init(ip, port)
sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [
[random.uniform(-10, 10) for r in range(10)] for c in range(10)
]
asin_acos_atanh_data = [[random.uniform(-1, 1) for r in range(10)]
for c in range(10)]
acosh_data = [[random.uniform(1, 10) for r in range(10)]
for c in range(10)]
abs_data = [[random.uniform(-100000, 0) for r in range(10)]
for c in range(10)]
signif_data = [[0.0000123456, 1], [2, 3]]
h2o_data1 = h2o.H2OFrame(
python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
h2o_data5 = h2o.H2OFrame(python_obj=signif_data)
np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
np_data2 = np.array(asin_acos_atanh_data)
np_data3 = np.array(acosh_data)
np_data4 = np.array(abs_data)
for d in range(1, 6):
h2o_signif = h2o.signif(h2o_data5, digits=d)
h2o_round = h2o.round(h2o_data5, digits=d + 4)
s = h2o_signif[0, 0]
r = h2o_round[0, 0]
assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(
s, r)
h2o_transposed = h2o.transpose(h2o_data1[0:5])
r, c = h2o_transposed.dim()
assert r == 5 and c == 10, "Expected 5 rows and 10 columns, but got {0} rows and {1} columns".format(
r, c)
h2o.np_comparison_check(h2o_transposed, np.transpose(np_data1[:, 0:5]), 10)
h2o.np_comparison_check(h2o.cos(h2o_data1), np.cos(np_data1), 10)
h2o.np_comparison_check(h2o.sin(h2o_data1), np.sin(np_data1), 10)
h2o.np_comparison_check(h2o.tan(h2o_data1), np.tan(np_data1), 10)
h2o.np_comparison_check(h2o.acos(h2o_data2), np.arccos(np_data2), 10)
h2o.np_comparison_check(h2o.asin(h2o_data2), np.arcsin(np_data2), 10)
h2o.np_comparison_check(h2o.atan(h2o_data1), np.arctan(np_data1), 10)
h2o.np_comparison_check(h2o.cosh(h2o_data1), np.cosh(np_data1), 10)
h2o.np_comparison_check(h2o.sinh(h2o_data1), np.sinh(np_data1), 10)
h2o.np_comparison_check(h2o.tanh(h2o_data1), np.tanh(np_data1), 10)
h2o.np_comparison_check(h2o.acosh(h2o_data3), np.arccosh(np_data3), 10)
h2o.np_comparison_check(h2o.asinh(h2o_data1), np.arcsinh(np_data1), 10)
h2o.np_comparison_check(h2o.atanh(h2o_data2), np.arctanh(np_data2), 10)
h2o.np_comparison_check(h2o.abs(h2o_data4), np.fabs(np_data4), 10)
h2o.np_comparison_check(h2o.sign(h2o_data2), np.sign(np_data2), 10)
h2o.np_comparison_check(h2o.sqrt(h2o_data3), np.sqrt(np_data3), 10)
h2o.np_comparison_check(h2o.trunc(h2o_data3), np.trunc(np_data3), 10)
h2o.np_comparison_check(h2o.ceil(h2o_data3), np.ceil(np_data3), 10)
h2o.np_comparison_check(h2o.floor(h2o_data3), np.floor(np_data3), 10)
h2o.np_comparison_check(h2o.log(h2o_data3), np.log(np_data3), 10)
h2o.np_comparison_check(h2o.log10(h2o_data3), np.log10(np_data3), 10)
h2o.np_comparison_check(h2o.log1p(h2o_data3), np.log1p(np_data3), 10)
h2o.np_comparison_check(h2o.log2(h2o_data3), np.log2(np_data3), 10)
h2o.np_comparison_check(h2o.exp(h2o_data3), np.exp(np_data3), 10)
h2o.np_comparison_check(h2o.expm1(h2o_data3), np.expm1(np_data3), 10)
h2o_val = h2o.gamma(h2o_data3)[5, 5]
num_val = math.gamma(h2o_data3[5, 5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.lgamma(h2o_data3)[5, 5]
num_val = math.lgamma(h2o_data3[5, 5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.digamma(h2o_data3)[5, 5]
num_val = scipy.special.polygamma(0, h2o_data3[5, 5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.trigamma(h2o_data3)[5, 5]
num_val = scipy.special.polygamma(1, h2o_data3[5, 5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
"math".format(h2o_val,num_val)
def vec_math_ops(ip,port):
# Connect to h2o
h2o.init(ip,port)
sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [[random.uniform(-10,10) for r in range(10)] for c in range(10)]
asin_acos_atanh_data = [[random.uniform(-1,1) for r in range(10)] for c in range(10)]
acosh_data = [[random.uniform(1,10) for r in range(10)] for c in range(10)]
abs_data = [[random.uniform(-100000,0) for r in range(10)] for c in range(10)]
zero_one_data = [random.randint(0,1) for c in range(10)]
zero_one_data = [zero_one_data, zero_one_data]
h2o_data1 = h2o.H2OFrame(python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
h2o_data5 = h2o.H2OFrame(python_obj=zero_one_data)
np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
np_data2 = np.array(asin_acos_atanh_data)
np_data3 = np.array(acosh_data)
np_data4 = np.array(abs_data)
np_data5 = np.array(zero_one_data)
row, col = h2o_data1.dim()
c = random.randint(0,col-1)
for d in range(1,6):
h2o_signif = h2o.signif(h2o_data5[c], digits=d)
h2o_round = h2o.round(h2o_data5[c], digits=d+4)
s = h2o_signif[0]
r = h2o_round[0]
assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(s, r)
h2o_transposed = h2o.transpose(h2o_data1[c])
x, y = h2o_transposed.dim()
assert x == 1 and y == 10, "Expected 1 row and 10 columns, but got {0} rows and {1} columns".format(x,y)
h2o.np_comparison_check(h2o.cos(h2o_data1[c]), np.cos(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.sin(h2o_data1[c]), np.sin(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.tan(h2o_data1[c]), np.tan(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.acos(h2o_data2[c]), np.arccos(np_data2[:,c]), 10)
h2o.np_comparison_check(h2o.asin(h2o_data2[c]), np.arcsin(np_data2[:,c]), 10)
h2o.np_comparison_check(h2o.atan(h2o_data1[c]), np.arctan(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.cosh(h2o_data1[c]), np.cosh(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.sinh(h2o_data1[c]), np.sinh(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.tanh(h2o_data1[c]), np.tanh(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.acosh(h2o_data3[c]), np.arccosh(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.asinh(h2o_data1[c]), np.arcsinh(np_data1[:,c]), 10)
h2o.np_comparison_check(h2o.atanh(h2o_data2[c]), np.arctanh(np_data2[:,c]), 10)
h2o.np_comparison_check(h2o.abs(h2o_data4[c]), np.fabs(np_data4[:,c]), 10)
h2o.np_comparison_check(h2o.sign(h2o_data2[c]), np.sign(np_data2[:,c]), 10)
h2o.np_comparison_check(h2o.sqrt(h2o_data3[c]), np.sqrt(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.trunc(h2o_data3[c]), np.trunc(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.ceil(h2o_data3[c]), np.ceil(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.floor(h2o_data3[c]), np.floor(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.log(h2o_data3[c]), np.log(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.log10(h2o_data3[c]), np.log10(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.log1p(h2o_data3[c]), np.log1p(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.log2(h2o_data3[c]), np.log2(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.exp(h2o_data3[c]), np.exp(np_data3[:,c]), 10)
h2o.np_comparison_check(h2o.expm1(h2o_data3[c]), np.expm1(np_data3[:,c]), 10)
h2o_val = h2o.gamma(h2o_data3[c])[5]
num_val = math.gamma(h2o_data3[5,c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and" \
"math".format(h2o_val,num_val)
h2o_val = h2o.lgamma(h2o_data3[c])[5]
num_val = math.lgamma(h2o_data3[5,c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.digamma(h2o_data3[c])[5]
num_val = scipy.special.polygamma(0,h2o_data3[5,c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.trigamma(h2o_data3[c])[5]
num_val = scipy.special.polygamma(1,h2o_data3[5,c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
"math".format(h2o_val,num_val)
for c in range(col):
h2o_val = h2o.all(h2o_data5[c])
num_val = True if np.all(np_data5[:,c]) else False
assert h2o_val == num_val, "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal " \
"values between h2o and numpy".format(h2o_val,num_val)
def frame_math_ops(ip,port):
# Connect to h2o
h2o.init(ip,port)
sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [[random.uniform(-10,10) for r in range(10)] for c in range(10)]
asin_acos_atanh_data = [[random.uniform(-1,1) for r in range(10)] for c in range(10)]
acosh_data = [[random.uniform(1,10) for r in range(10)] for c in range(10)]
abs_data = [[random.uniform(-100000,0) for r in range(10)] for c in range(10)]
signif_data = [[0.0000123456, 1], [2, 3]]
h2o_data1 = h2o.H2OFrame(python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
h2o_data5 = h2o.H2OFrame(python_obj=signif_data)
np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
np_data2 = np.array(asin_acos_atanh_data)
np_data3 = np.array(acosh_data)
np_data4 = np.array(abs_data)
for d in range(1,6):
h2o_signif = h2o.signif(h2o_data5, digits=d)
h2o_round = h2o.round(h2o_data5, digits=d+4)
s = h2o_signif[0,0]
r = h2o_round[0,0]
assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(s, r)
h2o_transposed = h2o.transpose(h2o_data1[0:5])
r, c = h2o_transposed.dim()
assert r == 5 and c == 10, "Expected 5 rows and 10 columns, but got {0} rows and {1} columns".format(r,c)
h2o.np_comparison_check(h2o_transposed, np.transpose(np_data1[:,0:5]), 10)
h2o.np_comparison_check(h2o.cos(h2o_data1), np.cos(np_data1), 10)
h2o.np_comparison_check(h2o.sin(h2o_data1), np.sin(np_data1), 10)
h2o.np_comparison_check(h2o.tan(h2o_data1), np.tan(np_data1), 10)
h2o.np_comparison_check(h2o.acos(h2o_data2), np.arccos(np_data2), 10)
h2o.np_comparison_check(h2o.asin(h2o_data2), np.arcsin(np_data2), 10)
h2o.np_comparison_check(h2o.atan(h2o_data1), np.arctan(np_data1), 10)
h2o.np_comparison_check(h2o.cosh(h2o_data1), np.cosh(np_data1), 10)
h2o.np_comparison_check(h2o.sinh(h2o_data1), np.sinh(np_data1), 10)
h2o.np_comparison_check(h2o.tanh(h2o_data1), np.tanh(np_data1), 10)
h2o.np_comparison_check(h2o.acosh(h2o_data3), np.arccosh(np_data3), 10)
h2o.np_comparison_check(h2o.asinh(h2o_data1), np.arcsinh(np_data1), 10)
h2o.np_comparison_check(h2o.atanh(h2o_data2), np.arctanh(np_data2), 10)
h2o.np_comparison_check(h2o.abs(h2o_data4), np.fabs(np_data4), 10)
h2o.np_comparison_check(h2o.sign(h2o_data2), np.sign(np_data2), 10)
h2o.np_comparison_check(h2o.sqrt(h2o_data3), np.sqrt(np_data3), 10)
h2o.np_comparison_check(h2o.trunc(h2o_data3), np.trunc(np_data3), 10)
h2o.np_comparison_check(h2o.ceil(h2o_data3), np.ceil(np_data3), 10)
h2o.np_comparison_check(h2o.floor(h2o_data3), np.floor(np_data3), 10)
h2o.np_comparison_check(h2o.log(h2o_data3), np.log(np_data3), 10)
h2o.np_comparison_check(h2o.log10(h2o_data3), np.log10(np_data3), 10)
h2o.np_comparison_check(h2o.log1p(h2o_data3), np.log1p(np_data3), 10)
h2o.np_comparison_check(h2o.log2(h2o_data3), np.log2(np_data3), 10)
h2o.np_comparison_check(h2o.exp(h2o_data3), np.exp(np_data3), 10)
h2o.np_comparison_check(h2o.expm1(h2o_data3), np.expm1(np_data3), 10)
h2o_val = h2o.gamma(h2o_data3)[5,5]
num_val = math.gamma(h2o_data3[5,5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.lgamma(h2o_data3)[5,5]
num_val = math.lgamma(h2o_data3[5,5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.digamma(h2o_data3)[5,5]
num_val = scipy.special.polygamma(0,h2o_data3[5,5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.trigamma(h2o_data3)[5,5]
num_val = scipy.special.polygamma(1,h2o_data3[5,5])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
"math".format(h2o_val,num_val)
def vec_math_ops(ip, port):
# Connect to h2o
h2o.init(ip, port)
sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [
[random.uniform(-10, 10) for r in range(10)] for c in range(10)
]
asin_acos_atanh_data = [[random.uniform(-1, 1) for r in range(10)]
for c in range(10)]
acosh_data = [[random.uniform(1, 10) for r in range(10)]
for c in range(10)]
abs_data = [[random.uniform(-100000, 0) for r in range(10)]
for c in range(10)]
zero_one_data = [random.randint(0, 1) for c in range(10)]
zero_one_data = [zero_one_data, zero_one_data]
h2o_data1 = h2o.H2OFrame(
python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
h2o_data5 = h2o.H2OFrame(python_obj=zero_one_data)
np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
np_data2 = np.array(asin_acos_atanh_data)
np_data3 = np.array(acosh_data)
np_data4 = np.array(abs_data)
np_data5 = np.array(zero_one_data)
row, col = h2o_data1.dim()
c = random.randint(0, col - 1)
for d in range(1, 6):
h2o_signif = h2o.signif(h2o_data5[c], digits=d)
h2o_round = h2o.round(h2o_data5[c], digits=d + 4)
s = h2o_signif[0]
r = h2o_round[0]
assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(
s, r)
h2o_transposed = h2o.transpose(h2o_data1[c])
x, y = h2o_transposed.dim()
assert x == 1 and y == 10, "Expected 1 row and 10 columns, but got {0} rows and {1} columns".format(
x, y)
h2o.np_comparison_check(h2o.cos(h2o_data1[c]), np.cos(np_data1[:, c]), 10)
h2o.np_comparison_check(h2o.sin(h2o_data1[c]), np.sin(np_data1[:, c]), 10)
h2o.np_comparison_check(h2o.tan(h2o_data1[c]), np.tan(np_data1[:, c]), 10)
h2o.np_comparison_check(h2o.acos(h2o_data2[c]), np.arccos(np_data2[:, c]),
10)
h2o.np_comparison_check(h2o.asin(h2o_data2[c]), np.arcsin(np_data2[:, c]),
10)
h2o.np_comparison_check(h2o.atan(h2o_data1[c]), np.arctan(np_data1[:, c]),
10)
h2o.np_comparison_check(h2o.cosh(h2o_data1[c]), np.cosh(np_data1[:, c]),
10)
h2o.np_comparison_check(h2o.sinh(h2o_data1[c]), np.sinh(np_data1[:, c]),
10)
h2o.np_comparison_check(h2o.tanh(h2o_data1[c]), np.tanh(np_data1[:, c]),
10)
h2o.np_comparison_check(h2o.acosh(h2o_data3[c]),
np.arccosh(np_data3[:, c]), 10)
h2o.np_comparison_check(h2o.asinh(h2o_data1[c]),
np.arcsinh(np_data1[:, c]), 10)
h2o.np_comparison_check(h2o.atanh(h2o_data2[c]),
np.arctanh(np_data2[:, c]), 10)
h2o.np_comparison_check(h2o.abs(h2o_data4[c]), np.fabs(np_data4[:, c]), 10)
h2o.np_comparison_check(h2o.sign(h2o_data2[c]), np.sign(np_data2[:, c]),
10)
h2o.np_comparison_check(h2o.sqrt(h2o_data3[c]), np.sqrt(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.trunc(h2o_data3[c]), np.trunc(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.ceil(h2o_data3[c]), np.ceil(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.floor(h2o_data3[c]), np.floor(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.log(h2o_data3[c]), np.log(np_data3[:, c]), 10)
h2o.np_comparison_check(h2o.log10(h2o_data3[c]), np.log10(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.log1p(h2o_data3[c]), np.log1p(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.log2(h2o_data3[c]), np.log2(np_data3[:, c]),
10)
h2o.np_comparison_check(h2o.exp(h2o_data3[c]), np.exp(np_data3[:, c]), 10)
h2o.np_comparison_check(h2o.expm1(h2o_data3[c]), np.expm1(np_data3[:, c]),
10)
h2o_val = h2o.gamma(h2o_data3[c])[5]
num_val = math.gamma(h2o_data3[5, c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and" \
"math".format(h2o_val,num_val)
h2o_val = h2o.lgamma(h2o_data3[c])[5]
num_val = math.lgamma(h2o_data3[5, c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.digamma(h2o_data3[c])[5]
num_val = scipy.special.polygamma(0, h2o_data3[5, c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
"math".format(h2o_val,num_val)
h2o_val = h2o.trigamma(h2o_data3[c])[5]
num_val = scipy.special.polygamma(1, h2o_data3[5, c])
assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
"check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
"math".format(h2o_val,num_val)
for c in range(col):
h2o_val = h2o.all(h2o_data5[c])
num_val = True if np.all(np_data5[:, c]) else False
assert h2o_val == num_val, "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal " \
"values between h2o and numpy".format(h2o_val,num_val)