问有什么方法可以增加分配给jupyter笔记本的内存吗？

EN

$ jupyter notebook --generate-config

with pm.Model() as model:
#hyperpriors
home = pm.Flat('home') #flat pdf is uninformative - means we have no idea
sd_att = pm.HalfStudentT('sd_att', nu=3, sd=2.5)
sd_def = pm.HalfStudentT('sd_def', nu=3, sd=2.5)
intercept = pm.Flat('intercept')

# team-specific model parameters
atts_star = pm.Normal("atts_star", mu=0, sd=sd_att, shape=num_teams)
defs_star = pm.Normal("defs_star", mu=0, sd=sd_def, shape=num_teams)

# To allow samples of expressions to be saved, we need to wrap them in pymc3 
Deterministic objects
atts = pm.Deterministic('atts', atts_star - tt.mean(atts_star))
defs = pm.Deterministic('defs', defs_star - tt.mean(defs_star))

# Assume exponential search on home_theta and away_theta. With pymc3, need to 
rely on theano.
# tt is theano.tensor.. why Sampyl may be easier to use..
home_theta = tt.exp(intercept + home + atts[home_team] + defs[away_team])  
away_theta = tt.exp(intercept + atts[away_team] + defs[home_team])

# likelihood of observed data
home_points = pm.Poisson('home_points', mu=home_theta, 
observed=observed_home_goals)
away_points = pm.Poisson('away_points', mu=away_theta, 
observed=observed_away_goals)