Page Index - CyrilB1531/lodestar GitHub Wiki

6757 page(s) in this GitHub Wiki:

• Home
• Lodestar
• What do you want to do?
• Coming from Python
• Packages
• 0001 target framework
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• 0001 the foundations target frameworks comparison unit persistence and versioning
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• 0002 provenance and the allowed references
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• 0002 unicode comparison unit
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• 0003 provenance and licensing
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• 0003 the package layout tiers boundaries and edges
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• 0004 levenshtein myers backlog
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• 0004 what is written here and what is delegated
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• 0005 hamming jellyfish divergence
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• 0005 the proof standard and the oracle each family is frozen from
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• 0006 ratcliff autojunk
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• 0006 the stemmers references
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• 0007 metaphone scope
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• 0007 the deliberate divergences
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• 0008 italian enza nltk divergence
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• 0008 numpy s legacy generator is replayed
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• 0009 sample consumes a local feed
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• 0009 the phonetic encoders follow jellyfish whole
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• 0010 stop word list provenance
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• 0011 persistence format
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• 0012 per package versioning
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• 0013 sentencepiece parity scope
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• 0014 precompiled normalizer
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• 0015 sonar rules in the build
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• 0016 metrics package placement
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• 0017 bpe parity scope
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• 0018 multiclass roc auc parallelism is opt in
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• 0019 the net analysers run in the build too
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• 0020 normalize is a projection not a parameter
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• 0021 multioutput is a method not an enum
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• 0022 added token matching flags
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• 0023 byte level decode substitutes
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• 0024 weighted median averages within scikit learns epsilon
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• 0025 quickselect replaces a full sort for the median
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• 0026 r2 and explainedvariance split their undefined cases differently
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• 0027 r2 and explainedvariance vectorize only a single output
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• 0028 log1p is kahans identity not math log 1 plus x
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• 0029 balanced accuracy adjusted is left to ieee 754 at the edge
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• 0030 cohen kappa keeps scikit learns expected matrix orientation
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• 0031 nosamplecorrect mirrors numpys float64 upcast
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• 0032 fbeta substitutes tp predicted and support algebraically
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• 0033 compensated sum is neumaiers variant
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• 0034 dropout is refused for want of a user
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• 0035 a null pre split is removed with invert not isolated
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• 0036 a member may ship without an oracle if it says so
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• 0037 the guards run before the commit
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• 0038 the gate confronts an exception tag with the page that documents it
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• 0039 mutual information returns zero on an empty input
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• 0040 a curve is a sealed class per curve
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• 0041 one sample file per public class
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• 0042 phonetic encoders refuse a null word
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• 0043 the equality table is sized to the pattern
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• 0044 compression belongs to the caller
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• 0045 a console call carries its reason on the line
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• 0046 check adr immutable runs in ci only
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• 0047 one gate per kernel not one per alphabet
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• 0048 the gate depends on the kernel and the alphabet
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• 0049 two gates per kernel tested where the width is known
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• 0050 the sentencepiece bpe lineage stays a bpe model
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• 0051 the save paths cost is the buffer not the encoding
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• 0052 pre sizing the artifact file buys nothing on a delayed allocation filesystem
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• 0053 the payload buffer is not pooled because residency outlives the load
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• 0054 the payload buffer is pooled after all because the collection is the cost
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• 0055 the artifact gets a binary sidecar once a block can be ingested whole
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• 0056 a block may be adopted and the invariant is the callers to keep
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• 0057 the npy read serves a stream and a buffer differently
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• 0058 the npy ingest is memcpy bound and the allocation is not the cost
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• 0059 phase 0 verifications two confirmed voids do not survive nuget
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• 0060 tensorprimitives beats our kernel and the knn is still not redundant
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• 0061 the ingest gap was a collection landing wherever the collector ran
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• 0062 the two metaspace spellings part on the prepend twice
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• 0063 byte fallback requires the whole alphabet and its decoder is read strictly too
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• 0064 check repeated literals runs in ci only not the pre commit hook
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• 0065 the oracle generators floor is the ci interpreter
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• 0066 the nightlys publish holds the elevated token and runs no branch code
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• 0067 workflows is not a permission scope so the nightly stands down instead
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• 0068 the tokenizer gap is the loader not the encode kernel
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• 0069 the package layout as built and what enforces it
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• 0070 k greater than n returns an infinite interval
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• 0071 csrmatrix moves to an abstractions package
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• 0072 omega is an input not a seed
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• 0073 the oracle gate compares numbers not bytes
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• 0074 the phase 2 gaps restated on what the packages export
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• 0075 double metaphone takes doublemetaphone as its oracle
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• 0076 a core package carries no external dependency
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• 0077 the keyword extractors take their oracles lists and not their own
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• 0078 keybert is declared nodeps not compiled into the lock
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• 0079 tied textrank scores canonicalize by phrase not blas
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• 0080 match rating approach comparison uses character length not byte length
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• 0081 the stats numerical layer stays internal
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• 0082 scipy joins the allowed permissive references
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• 0083 the pair template is read and discarded
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• 0084 the llama 2 tokenizer is vendored under a bespoke licence
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• 0085 a normalized added tokens pattern carries the normalizers escape
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• 0086 russian follows nltks table and the descriptions alphabet
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• 0087 danish follows nltk on the apostrophe
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• 0088 cpd does not read the stemmers
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• 0089 the interop tier may take a dependency a core package refused
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• 0090 finnish falls back to the genitive where nltk does
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• 0091 hungarian takes snowballstemmer as its oracle
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• 0092 romanian keeps the cedilla alphabet the description writes
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• 0093 an exact tie between centres is not part of k means parity
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• 0094 arabic takes snowballstemmer and stands outside the worker base
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• 0095 the stats numerical layer publishes four members and no more
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• 0096 ordinary least squares earns its own package
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• 0097 the chi squared tail joins the published four
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• 0098 the normal quantile is the third member decision 0095s rule publishes
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• 0099 survival has no incumbent and scikit survival is refused on its licence
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• 0100 vectordata is its own satellite and its text edge waits on a release
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• 0101 lodestar gpu is the one package that does not ship netstandard2 0
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• 0102 the gpu gate is measured on a named machine
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• 0103 lodestar gpu ships netstandard2 1 beside net10
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• 0104 generalized linear models are written natively
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• 0105 the time series forecast is delegated and the diagnostics are the gap
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• 0106 the frontmatter is inserted once and the body does not move
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• 0107 xunit v3 arrives whole and takes the coverage format with it
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• 0108 minhash ships both permutation families
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• 0109 the cancellation token was never an overload
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• 0110 the surveyor is a file based app and names its counting basis
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• 0111 the generalized linear model does not earn its own package
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• 0112 an analyzer rule below warning is raised where it has escaped
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• 0113 a record whose member compares by reference writes its own equality
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• 0114 the serial correlation diagnostics stay in lodestar stats
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• 0115 the robust covariances come first and the tail was already published
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• 0116 the pca gap is the explained variance not the projection
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• 0117 nan policy is offered where scipy offers it
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• 0118 a residual estimate is refused rather than floored
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• 0119 the explained variance lives in lodestar decomposition
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• 0120 a stream with no declared length is pooled too
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• 0121 the quantiles invert by newton and the large df residual is the tails
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• 0122 erfc is an interpolant sampled from the incomplete gamma
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• 0123 the vectordata store holds the records and derives both indexes
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• 0124 the cox model stays in lodestar survival and refuses what it cannot estimate
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• 0125 the factorization types keep ireadonlylist and consumers read a local
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• 0126 the nightly reports a ratio that steps past its noise or drifts over ten days
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• 0127 bpe is held to the incumbent computing the same ids
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• 0128 the poisson log factorial stays in lodestar stats regression
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• 0129 four numerics libraries read and three absences withdrawn
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• 0130 mixed models have no incumbent and wait for a caller
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• 0131 lodestar cluster writes what netstandard2 0 lacks
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• 0132 preprocessing writes splitters scalers and encoders and not smote
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• 0133 stats timeseries is a package and takes the serial correlation lot
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• 0134 arima and state space are not written and var is the one that could be
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• 0135 instrumental variables and panel estimators have no incumbent and both could be written
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• 0136 the multinomial logit is written and the ordered model is not
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• 0137 regularised fits are delegated to ml net and the table they would carry does not exist
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• 0138 lodestar preprocessing takes an edge on lodestar stats for the normal quantile
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• 0139 the sparse overloads take the second edge under 0138s precedent
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• 0140 on a named machine our knn kernel is ahead and avx 512 widens the gap
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• 0141 kolmogorov smirnov auto follows scipy for equal sizes
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• 0142 a filtered vector search calls the filter once per record in storage order
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• 0143 prediction sets can read mapies classification quantile
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• 0144 a vocab txt runs berts basic tokenizer
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• 0145 french takes snowballstemmer as its oracle
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• 0146 berts normalizer keeps the unassigned code points
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• 0147 the rank refusal and the conditioning gate are measured on singular values
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• Abstractions
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• Abstractions 0.2.0 csrmatrix
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• Abstractions 0.2.0 csrmatrix createunchecked
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• Abstractions 0.2.0 csrmatrix multiply
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• Abstractions 0.2.0 csrmatrix normalizerows
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• Abstractions 0.2.0 csrmatrix rowl1norm
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• Abstractions 0.2.0 csrmatrix rowl2norm
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• Abstractions 0.2.0 csrmatrix todense
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• Abstractions 0.2.0 csrmatrix transposemultiply
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• Abstractions 0.2.0 sparse
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• Abstractions 0.2.0 sparsenorm
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• Abstractions csrmatrix
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• Abstractions csrmatrix constructor
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• Abstractions csrmatrix createunchecked
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• Abstractions csrmatrix multiply
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• Abstractions csrmatrix normalizerows
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• Abstractions csrmatrix rowl1norm
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• Abstractions csrmatrix rowl2norm
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• Abstractions csrmatrix todense
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• Abstractions csrmatrix transposemultiply
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• Abstractions Lodestar.Abstractions
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• Abstractions performance
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• Abstractions sparse
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• Abstractions sparsenorm
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• benchmark_latest
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• Cluster
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• Cluster 0.1.0 kmeans
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• Cluster 0.1.0 kmeans fit
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• Cluster 0.1.0 kmeans predict
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• Cluster 0.1.0 kmeansoptions
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• Cluster 0.1.0 partitioning
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• Cluster 0.2.0 agglomerativeclustering
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• Cluster 0.2.0 agglomerativeclustering fit
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• Cluster 0.2.0 agglomerativeclustering fittothreshold
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• Cluster 0.2.0 dbscan
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• Cluster 0.2.0 dbscan fit
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• Cluster 0.2.0 dbscan fitprecomputed
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• Cluster 0.2.0 kmeans
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• Cluster 0.2.0 kmeans fit
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• Cluster 0.2.0 kmeans predict
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• Cluster 0.2.0 kmeansoptions
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• Cluster 0.2.0 kmeansoptions equals
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• Cluster 0.2.0 kmeansoptions gethashcode
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• Cluster 0.2.0 linkage
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• Cluster 0.2.0 partitioning
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• Cluster agglomerativeclustering
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• Cluster agglomerativeclustering fit
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• Cluster agglomerativeclustering fittothreshold
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• Cluster dbscan
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• Cluster dbscan fit
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• Cluster dbscan fitprecomputed
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• Cluster kmeans
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• Cluster kmeans fit
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• Cluster kmeans predict
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• Cluster kmeansoptions
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• Cluster kmeansoptions equals
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• Cluster kmeansoptions gethashcode
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• Cluster linkage
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• Cluster Lodestar.Cluster
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• Cluster partitioning
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• Cluster performance
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• Conformal
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• Conformal 0.1.0 conformal
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• Conformal 0.1.0 prediction
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• Conformal 0.1.0 splitconformal
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• Conformal 0.1.0 splitconformal absoluteresiduals
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• Conformal 0.1.0 splitconformal interval
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• Conformal 0.1.0 splitconformal leastambiguousscores
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• Conformal 0.1.0 splitconformal predictionset
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• Conformal 0.1.0 splitconformal quantile
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• Conformal 0.2.0 conformal
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• Conformal 0.2.0 conformalquantilerule
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• Conformal 0.2.0 prediction
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• Conformal 0.2.0 splitconformal
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• Conformal 0.2.0 splitconformal absoluteresiduals
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• Conformal 0.2.0 splitconformal interval
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• Conformal 0.2.0 splitconformal leastambiguousscores
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• Conformal 0.2.0 splitconformal normalisedinterval
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• Conformal 0.2.0 splitconformal normalisedresiduals
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• Conformal 0.2.0 splitconformal predictionset
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• Conformal 0.2.0 splitconformal quantile
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• Conformal conformal
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• Conformal conformalquantilerule
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• Conformal crossconformal
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• Conformal crossconformal gammainterval
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• Conformal crossconformal interval
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• Conformal crossconformal outofsample
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• Conformal crossconformalaggregation
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• Conformal crossconformalmethod
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• Conformal Lodestar.Conformal
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• Conformal performance
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• Conformal prediction
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• Conformal splitconformal
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• Conformal splitconformal absoluteresiduals
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• Conformal splitconformal gammainterval
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• Conformal splitconformal gammascores
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• Conformal splitconformal interval
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• Conformal splitconformal leastambiguousscores
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• Conformal splitconformal normalisedinterval
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• Conformal splitconformal normalisedresiduals
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• Conformal splitconformal predictionset
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• Conformal splitconformal quantile
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• decisions
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• Decomposition
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• Decomposition 0.1.0 decomposition
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• Decomposition 0.1.0 factorization
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• Decomposition 0.1.0 nmf
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• Decomposition 0.1.0 nmf fit
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• Decomposition 0.1.0 nmfbetaloss
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• Decomposition 0.1.0 nmfinitialization
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• Decomposition 0.1.0 nmfoptions
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• Decomposition 0.1.0 poweriterationnormalizer
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• Decomposition 0.1.0 truncatedsvd
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• Decomposition 0.1.0 truncatedsvd fit
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• Decomposition 0.1.0 truncatedsvd transform
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• Decomposition 0.1.0 truncatedsvdoptions
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• Decomposition 0.1.1 decomposition
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• Decomposition 0.1.1 factorization
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• Decomposition 0.1.1 nmf
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• Decomposition 0.1.1 nmf fit
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• Decomposition 0.1.1 nmfbetaloss
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• Decomposition 0.1.1 nmfinitialization
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• Decomposition 0.1.1 nmfoptions
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• Decomposition 0.1.1 poweriterationnormalizer
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• Decomposition 0.1.1 truncatedsvd
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• Decomposition 0.1.1 truncatedsvd fit
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• Decomposition 0.1.1 truncatedsvd transform
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• Decomposition 0.1.1 truncatedsvdoptions
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• Decomposition 0.2.0 decomposition
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• Decomposition 0.2.0 factorization
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• Decomposition 0.2.0 nmf
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• Decomposition 0.2.0 nmf fit
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• Decomposition 0.2.0 nmfbetaloss
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• Decomposition 0.2.0 nmfinitialization
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• Decomposition 0.2.0 nmfoptions
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• Decomposition 0.2.0 poweriterationnormalizer
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• Decomposition 0.2.0 qrdecomposition
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• Decomposition 0.2.0 qrdecomposition householder
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• Decomposition 0.2.0 truncatedsvd
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• Decomposition 0.2.0 truncatedsvd fit
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• Decomposition 0.2.0 truncatedsvd transform
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• Decomposition 0.2.0 truncatedsvdoptions
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• Decomposition 0.3.0 decomposition
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• Decomposition 0.3.0 factorization
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• Decomposition 0.3.0 nmf
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• Decomposition 0.3.0 nmf fit
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• Decomposition 0.3.0 nmf transform
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• Decomposition 0.3.0 nmfbetaloss
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• Decomposition 0.3.0 nmfinitialization
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• Decomposition 0.3.0 nmfoptions
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• Decomposition 0.3.0 poweriterationnormalizer
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• Decomposition 0.3.0 principalcomponentvariance
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• Decomposition 0.3.0 principalcomponentvariance compute
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• Decomposition 0.3.0 qrdecomposition
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• Decomposition 0.3.0 qrdecomposition householder
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• Decomposition 0.3.0 truncatedsvd
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• Decomposition 0.3.0 truncatedsvd fit
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• Decomposition 0.3.0 truncatedsvd transform
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• Decomposition 0.3.0 truncatedsvdoptions
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• Decomposition decomposition
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• Decomposition factorization
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• Decomposition Lodestar.Decomposition
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• Decomposition nmf
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• Decomposition nmf fit
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• Decomposition nmf transform
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• Decomposition nmfbetaloss
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• Decomposition nmfinitialization
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• Decomposition nmfoptions
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• Decomposition nmfoptions equals
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• Decomposition nmfoptions gethashcode
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• Decomposition performance
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• Decomposition poweriterationnormalizer
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• Decomposition principalcomponentvariance
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• Decomposition principalcomponentvariance compute
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• Decomposition qrdecomposition
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• Decomposition qrdecomposition householder
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• Decomposition truncatedsvd
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• Decomposition truncatedsvd fit
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• Decomposition truncatedsvd transform
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• Decomposition truncatedsvdoptions
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• Decomposition truncatedsvdoptions equals
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• Decomposition truncatedsvdoptions gethashcode
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• Embeddings
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• Embeddings 0.3.1 embeddings
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• Embeddings 0.4.0 addedtoken
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• Embeddings 0.4.0 addedtoken equals
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• Embeddings 0.4.0 addedtoken gethashcode
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• Embeddings 0.4.0 artifactloadoptions
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• Embeddings 0.4.0 batchencoder
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• Embeddings 0.4.0 batchencoder encode
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• Embeddings 0.4.0 batchencoder encodebatch
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• Embeddings 0.4.0 bpefilesloader
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• Embeddings 0.4.0 bpefilesloader load
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• Embeddings 0.4.0 bpefilesloader loadasync
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• Embeddings 0.4.0 bpepatterns
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• Embeddings 0.4.0 bpesplitstep
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• Embeddings 0.4.0 bpetokenizer
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• Embeddings 0.4.0 bpetokenizer decode
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• Embeddings 0.4.0 bpetokenizer encode
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• Embeddings 0.4.0 bpetokenizer trygetid
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• Embeddings 0.4.0 bpevocabulary
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• Embeddings 0.4.0 bpevocabulary equals
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• Embeddings 0.4.0 bpevocabulary gethashcode
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• Embeddings 0.4.0 embeddingindex
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• Embeddings 0.4.0 embeddingindex add
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• Embeddings 0.4.0 embeddingindex getid
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• Embeddings 0.4.0 embeddingindex load
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• Embeddings 0.4.0 embeddingindex loadasync
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• Embeddings 0.4.0 embeddingindex save
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• Embeddings 0.4.0 embeddingindex saveasync
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• Embeddings 0.4.0 embeddingindex search
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• Embeddings 0.4.0 embeddings
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• Embeddings 0.4.0 encodedbatch
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• Embeddings 0.4.0 encodedbatch sequence
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• Embeddings 0.4.0 encodingoptions
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• Embeddings 0.4.0 isubwordtokenizer
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• Embeddings 0.4.0 isubwordtokenizer encode
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• Embeddings 0.4.0 isubwordtokenizer trygetid
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• Embeddings 0.4.0 mergepair
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• Embeddings 0.4.0 onnx
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• Embeddings 0.4.0 onnxtextembedder
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• Embeddings 0.4.0 onnxtextembedder dispose
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• Embeddings 0.4.0 onnxtextembedder embed
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• Embeddings 0.4.0 onnxtextembedder embedbatch
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• Embeddings 0.4.0 persistence
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• Embeddings 0.4.0 pooler
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• Embeddings 0.4.0 pooler l2normalize
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• Embeddings 0.4.0 pooler meanpool
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• Embeddings 0.4.0 pooler meanpoolandnormalize
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• Embeddings 0.4.0 pooler meanpoolandnormalizebatch
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• Embeddings 0.4.0 pooler meanpoolbatch
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• Embeddings 0.4.0 pooling
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• Embeddings 0.4.0 precompilednormalizer
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• Embeddings 0.4.0 precompilednormalizer equals
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• Embeddings 0.4.0 precompilednormalizer fromcharsmap
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• Embeddings 0.4.0 precompilednormalizer gethashcode
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• Embeddings 0.4.0 precompilednormalizer normalize
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• Embeddings 0.4.0 search
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