fonnesbeck

fonnesbeck

fonnesbeck

2023-05-23 11:18:55.462 [warning] Via 'product.json#extensionEnabledApiProposals' extension 'ms-vscode.vscode-selfhost-test-provider' wants API proposal 'testContinuousRun' but that proposal DOES NOT EXIST. Likely, the proposal has been finalized (check 'vscode.d.ts') or was abandoned.
2023-05-23 11:18:55.794 [error] Extension 'github.copilot' appears in product.json but enables LESS API proposals than the extension wants.
package.json (LOSES): inlineCompletionsAdditions, terminalDataWriteEvent
product.json (WINS): inlineCompletionsAdditions
2023-05-23 11:18:55.848 [info] Invoking resolveAuthority(attached-container)...
2023-05-23 11:18:55.849 [info] [LocalProcess0][resolveAuthority(attached-container,1)][0ms] obtaining proxy...
2023-05-23 11:18:55.849 [info] [LocalProcess0][resolveAuthority(attached-container,1)][0ms] invoking...
2023-05-23 11:18:56.852 [info] [LocalProcess0][resolveAuthority(attached-container,1)][1004ms] waiting...
2023-05-23 11:18:57.854 [info] [LocalProcess0][resolveAuthority(attached-co

fonnesbeck

fonnesbeck

fonnesbeck

fonnesbeck

more_curves = [1810, 2225, 3015]
with curve_spin_model:
    pm.set_data({'spin': more_curves})
    post_pred = pm.sample_posterior_predictive(trace, samples=1000)

fonnesbeck

df = pd.DataFrame(dict(y=np.array([2, 4, 2, 0, 4])))

with pm.Model() as glm:
    x = np.array([0.3, 1.1, 0.6, -0.2, 3.3])
    pm.glm.GLM.from_formula('y ~ x', data=df, family=pm.glm.families.Poisson())

fonnesbeck

traces = {}

for year in years:
    with curve_spin_model:
        year_data = curveball_data.query('year==@year')
        pm.set_data({'spin': year_data.spin_rate, 
                    'swing_miss': year_data.miss})
        traces[year] = pm.sample(1000, tune=2000,
                                 cores=2, progressbar=False)

fonnesbeck

with pm.Model() as curve_spin_model:

    spin = pm.Data('spin', curveball_data['spin_rate'])
    β = pm.Normal('β', shape=2)
    
    θ = β[0] + β[1]*(spin/1000)
    
    swing_miss = pm.Data('swing_miss', curveball_data['miss'])
    miss = pm.Bernoulli('miss', pm.invlogit(θ), observed=swing_miss)