importml_dtypesimportnumpyasnpimportpickle# Create the arraya=np.array([.2,.4,.6],dtype=ml_dtypes.float8_e5m2)b=np.array([.2,.4,.6],dtype=ml_dtypes.float8_e4m3)# Savewithopen('a.npy.pkl',"wb")asf:pickle.dump(a,f)withopen('b.npy.pkl',"wb")asf:pickle.dump(b,f)# Load...
问题-problem1 在imort jax的时候,出现了一个报错: AttributeError: moudule 'ml_dtypes' has no attribute 'float8_e4m3b11' 解决-solution1 这个问题是由于'ml_dtypes'版本比较高导致的,对这个包降低版本到0.2.0就好了 pip install ml_dtypes==0.2.0 之后import jax就不报错了。 近期持续更新 ...
ml_dtypesis a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including: bfloat16: an alternative to the standardfloat16format 8-bit floating point representations, parameterized by number of exponent and mantissa bits, as well as the bias (if any)...
dtypes: int64(2), object(4) 15. memory usage: 60.7+ KB 16. None 17. 18. id tags \ 19. 0 6428905748545732865 ['财经', '白洋淀', '城市规划', '徐匡迪', '太行山'] 20. 1 6428954136200855810 ['财经', '碧桂园', '万科集团', '投资', '广州恒大'] 21. 2 6420576443738784002 ['财经'...
dtypes: float64(2), int64(4), object(5) memory usage: 76.7+ KB train.head() ## Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked 0 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S 1 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th......
destination_block_latitude_double 5 non-null float645 destination_block_longitude_double 5 non-null float646 year_integer 5 non-null float647 month_integer 5 non-null float648 dow_integer 5 non-null float649 hour_integer 5 non-null float64dtypes: float64(9), object(1)memory usage: 528.0...
print(csv_info.dtypes) #ps:字符型为object print(csv_info.head()) #可视化读入数据,以表格的形式 print(csv_info.head(3)) #可视化读入数据,以表格的形式,显示前3条商品数据 print(csv_info.tail(3)) #可视化读入数据,以表格的形式,显示最后3条商品数据 ...
# 选出数值型特征numerical_feat=data.select_dtypes(include=['int64','float64'])numerical_feat 代码语言:python 代码运行次数:0 复制 Cloud Studio代码运行 print(numerical_feat.columns)print("No. of numerical variables :",len(numerical_feat.columns))print("Number of unique values \n",numerical_feat...
df.dtypes #Defining Dependent Variables X=df.drop(columns= ['Churn','customerID','gender','PhoneService', 'MultipleLines', 'PaperlessBilling','PaymentMethod'], axis=1) #Independent Variable y=df['Churn'] # Converting this variable to object, it is deifined as int64 df['SeniorCitizen'...
df.dtypes 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 #Defining Dependent VariablesX=df.drop(columns=['Churn','customerID','gender','PhoneService','MultipleLines','PaperlessBilling','PaymentMethod'],axis=1)#Independent Variable ...